RedwoodCenter - User contributions [en]

Publications

2011-04-25T01:14:58Z

Pkanerva:

__NOEDITSECTION__
== Journal Papers ==
'''2011'''

Wang X, Vaingankar V, Soto Sanchez C, Sommer FT, Hirsch JA (2011) Thalamic interneurons and relay cells use complementary synaptic mechanisms for visual processing. Nature Neuroscience 14: 224-231

'''2010'''

Cadieu CF, Koepsell K (2010) Phase Coupling Estimation from Multivariate Phase Statistics. Neural Computation 22(12), pp. 3107 - 3126. [http://redwood.berkeley.edu/klab/papers/CadieuKoepsell_PCE_NeuralComp.pdf pdf]

Canolty RT, Ganguly K, Kennerley SW, Cadieu CF, Koepsell K, Wallis JD, Carmena JM (2010) Oscillatory phase coupling coordinates anatomically-dispersed cell assemblies. PNAS 107(40) 17356 - 17361. [http://dx.doi.org/10.1073/pnas.1008306107 journal] [http://redwood.berkeley.edu/klab/papers/PNAS-2010-Canolty-17356-61.pdf pdf][http://redwood.berkeley.edu/klab/papers/PNAS-2010-Canolty-17356-61_supp.pdf supplement]

Knoblauch A, Palm G, Sommer FT (2010) Memory capacities for synaptic and structural plasticity. Neural Computation, Volume 22 (2): 289-341 [http://redwood.berkeley.edu/fsommer/papers/knoblauchpalmsommer10.pdf pdf]

Koepsell K, Wang X, Hirsch JA, Sommer FT (2010) Exploring the function of neural oscillations in early sensory systems. Focused review in Frontiers in Neuroscience 4 (1): 53-61. [http://frontiersin.org/neuroscience/neuroscience/paper/10.3389/neuro.01/010.2010/ Frontiers in Neuroscience]

Lauritzen TZ, Ales JM, Wade AR (2010) The effects of visuospatial attention measured across visual cortex using source-imaged, steady-state EEG. J. of Vision 10(14)39: 1 - 17. [http://www.journalofvision.org/content/10/14/39.full.pdf+html pdf][http://www.journalofvision.org/content/10/14/39/suppl/DCSupplementaries supplement]

Tsao DY, Cadieu C, and Livingstone M (2010) Object Recognition: Physiological and Computational Insights. In Primate Neuroethology. Edited by M. Platt and A. Ghazanfar. Oxford University Press. 2010 (in press)

Wang X, Hirsch JA, Sommer FT (2010) Recoding of sensory information across the retinothalamic synapse. Journal of Neuroscience 30: 13567-13577

'''2009'''

Kanerva P (2009). Hyperdimensional Computing: An introduction to computing in distributed representation with high-dimensional random vectors. ''Cognitive Computation'' 1(2): 139-159 [http://www.springerlink.com/content/966151841g415165/ link] [http://redwood.berkeley.edu/pkanerva/papers/kanerva09-hyperdimensional.pdf pdf]

Koepsell K, Wang X, Vaingankar V, Wei Y, Wang Q, Rathbun DL, Usrey W, Hirsch J and Sommer FT (2009)
Retinal oscillations carry visual information to cortex. Front Syst Neurosci 3:4 [http://dx.doi.org/10.3389/neuro.06.004.2009 pdf]

Lauritzen TZ, D’Esposito M, Heeger D and Silver MA. (2009) Top-down flow of visual spatial attention signals from parietal to occipital cortex. Journal of Vision, 9(13):18, 1-14. [http://journalofvision.org/9/13/18/ link]

Ming, V. & Holt, L. (2009) Efficient coding in human auditory perception. J. Acoust. Soc. Am. 126.

Monaci G, Vandergheynst P, Sommer FT (2009) Learning bimodal structure in audio-visual data. IEEE Transactions on Neural Networks 20:1898-1910 [http://redwood.berkeley.edu/fsommer/papers/Monaci_etal_IEEE_NN09.pdf pdf]

Para LC, Beck JM, Bell AJ (2009) On the maximization of information flow between spiking neurons. Neural Computation, in press

'''2008'''

Koepsell K, Sommer FT (2008) Information transmission in oscillatory neural activity.
Biological Cybernetics 99:403–416 [http://dx.doi.org/10.1007/s00422-008-0273-6 abstract] [http://redwood.berkeley.edu/fsommer/papers/koepsellsommer08bicy.pdf pdf]

Rozell CJ, Johnson DH, Baraniuk RG, Olshausen BA (2008) Sparse Coding via Thresholding and Local Competition in Neural Circuits. Neural Computation, 20:2526-2563 [http://redwood.berkeley.edu/bruno/papers/garrigues_olshausen_nips2007.pdf pdf]

Teeters JL, Harris KD, Millman KJ, Olshausen BA, Sommer FT (2008) Data sharing for computational neuroscience. Neuroinformatics 6:47-55 [http://redwood.berkeley.edu/fsommer/papers/teetersetal08.pdf pdf]

'''2007'''

Rehn M, Sommer FT (2007) A network that uses few active neurones to code visual input predicts the diverse shapes of cortical receptive fields. J. Comp. Neurosci. 22 (2): 135-146. [http://redwood.berkeley.edu/fsommer/papers/rehnsommer07jcns.pdf pdf]

Sommer FT (2007) Bunte Theorien für graue Zellen. [http://www.gehirn-und-geist.de/artikel/872207 Gehirn und Geist], Juni 70-76

Wang X, Wei Y, Vaingankar V, Wang Q, Koepsell K, Sommer FT, Hirsch JA (2007) Feedforward excitation and inhibition evoke dual modes of firing in the cat’s visual thalamus during naturalistic viewing. Neuron 55 (2007) 465-478. [http://redwood.berkeley.edu/fsommer/papers/wangetal07neuron.pdf pdf]
See also the preview about this paper: P. Reinagel: The inner life of bursts. Neuron 55: 339-341

'''2006'''

Bethge M (2006) Factorial coding of natural images: how effective are
linear models in removing higher-order dependencies?
''J. Opt. Soc. Am.'' A, 23(6): 1253-1268.

Rehn M, Sommer FT (2006) Storing and restoring visual input with collaborative rank coding and associative memory.
''Neurocomputing'' 69 (10-12) 1219-1223 [http://redwood.berkeley.edu/~fsommer/papers/rehnsommer06neurocomp.pdf pdf]

Sommer FT, Kanerva P (2006) Can neural models of cognition benefit from the advantages of connectionism?
''Behavoral and Brain Sciences'' 29 (1) 86-87 [http://redwood.berkeley.edu/~fsommer/papers/sommerkanerva05.pdf pdf]

'''2005'''

George D, Sommer FT (2005) Computing with inter-spike inverval codes
in networks of integrate and fire neurons. ''Neurocomputing'' 65-66, 414 -
420. [http://redwood.berkeley.edu/~fsommer/papers/georgesommer05.pdf pdf]

Johnson JS, Olshausen BA (2005) The recognition of partially visible
natural objects in the presence and absence of their occluders.
''Vision Research'', 45, 3262-3276. [http://redwood.berkeley.edu/bruno/papers/VR05-occlusion.pdf pdf]

Johnson JS, Olshausen BA (2005) The earliest EEG signatures of object
recognition in a cued-target task are postsensory. ''Journal of Vision'',
5, 299-312. [http://journalofvision.org/5/4/2/ link]

Martinez LM, Wang Q, Reid RC, Pillai C, Alonso J-M, Sommer FT,
Hirsch JA (2005) Receptive field structure varies with layer in the
primary visual cortex. ''Nature Neuroscience'' 8 , 372 - 379
[http://redwood.berkeley.edu/~fsommer/papers/martinezetal05.pdf pdf]

Olshausen BA, Field DJ (2005) How close are we to understanding V1?
''Neural Computation'', 17, 1665-1699. [http://redwood.berkeley.edu/bruno/papers/V1-article.pdf pdf]

Sommer FT, Wennekers T (2005) Synfire chains with conductance-based
neurons: internal timing and coordination with timed
input. ''Neurocomputing'' 65-66, 449 - 454.
[http://redwood.berkeley.edu/~fsommer/papers/sommerwennekers05.pdf pdf]

== Refereed Conference Proceedings ==
'''2011'''

G. Isely, C. Hillar, F. T. Sommer: Decyphering subsampled data: Adaptive compressive sampling as a principle of brain communication. Advances in Neural Information Processing Systems 23. Eds: J. Lafferty and C. K. I. Williams and J. Shawe-Taylor and R.S. Zemel and A. Culotta (2011) 910-918 [http://www.google.com/url?sa=t&source=web&cd=1&ved=0CBoQFjAA&url=http%3A%2F%2Fbooks.nips.cc%2Fpapers%2Ffiles%2Fnips23%2FNIPS2010_1099.pdf&ei=aPFvTdLvLZHGsAPZ-5i_Cw&usg=AFQjCNGKtk3i_t5iSyxpdMcqMoLFhKf8OA&sig2=dnZxP1kl2pav20u7wloNSw pdf]

'''2010'''

Canolty RT, Ganguly K, Kennerley SW, Cadieu CF, Koepsell K, Wallis JD, Carmena JM (2010)
Single-neuron spike timing depends on global brain dynamics. Computational and Systems
Neuroscience 2010. doi: 10.3389/conf.fnins.2010.03.00264 [http://www.frontiersin.org/conferences/individual_abstract_listing.php?conferid=770&pap=3555&ind_abs=1&q=197 abstract]

M.A. Silver, A.N Landau, T.Z. Lauritzen, W Prinzmetal, L.C. Robertson. Isolating human brain functional connectivity associated with a specific cognitive process. Proceedings of SPIE Volume 7527 – In press.

Culpepper B.J., Olshausen B.A. Learning transport operators for image manifolds. Advances in Neural Information Processing Systems (NIPS), 22. (2010) Y. Bengio, D. Schuurmans, J. Lafferty, C. K. I. Williams and A. Culotta. [http://www.cs.berkeley.edu/~bjc/culpepper-nips22.pdf pdf] [http://www.cs.berkeley.edu/~bjc/culpepper-nips22-supplementary.pdf supplementary materials]

'''2009'''

Huth A, Cadieu CF, Dale CL, Weber D, Pantazis D, Darvas F, Leahy R, Simpson GV, Koepsell K (2009) Detecting functional connectivity in networks of phase-coupled neural oscillators, Poster presentation, Computational and Systems Neuroscience. doi: 10.3389/conf.neuro.06.2009.03.258 [http://frontiersin.org/conferences/individual_abstract_listing.php?conferid=39&pap=1341 abstract]

Charles CF, Koepsell K (2009) A multivariate phase distribution and its estimation, Poster presentation, Computational and Systems Neuroscience. doi: 10.3389/conf.neuro.06.2009.03.260 [http://frontiersin.org/conferences/individual_abstract_listing.php?conferid=39&pap=1343 abstract]


Cadieu C.F., Olshausen B.A., (2009) Learning Transformational Invariants from Natural Movies. Advances in Neural Information Processing Systems (NIPS), 21:209-216, 2009. D. Koller and D. Schuurmans and Y. Bengio and L. Bottou, MIT Press, Cambridge, MA. [http://books.nips.cc/papers/files/nips21/NIPS2008_0200.pdf pdf] [Movies: Figure 2 [http://redwood.berkeley.edu/cadieu/pubs/videos/movie_TransInv_Figure2.wmv wmv] / [http://redwood.berkeley.edu/cadieu/pubs/videos/movie_TransInv_Figure2.mov mov] , 4a [http://redwood.berkeley.edu/cadieu/pubs/videos/movie_TransInv_Figure4a.avi avi] / [http://redwood.berkeley.edu/cadieu/pubs/videos/movie_TransInv_Figure4a.mov mov] , 4b [http://redwood.berkeley.edu/cadieu/pubs/videos/movie_TransInv_Figure4b.avi avi] / [http://redwood.berkeley.edu/cadieu/pubs/videos/movie_TransInv_Figure4b.mov mov] , 4c [http://redwood.berkeley.edu/cadieu/pubs/videos/movie_TransInv_Figure4c.avi avi] / [http://redwood.berkeley.edu/cadieu/pubs/videos/movie_TransInv_Figure4c.mov mov] , 4d [http://redwood.berkeley.edu/cadieu/pubs/videos/movie_TransInv_Figure4d.avi avi] / [http://redwood.berkeley.edu/cadieu/pubs/videos/movie_TransInv_Figure4d.mov mov] ]

Olshausen, B., C. Cadieu, and D.K. Warland. (2009) Learning Real and Complex Overcomplete Representations from the Statistics of Natural Images, Proc. SPIE 7446, 74460S, 2009. [http://dx.doi.org/10.1117/12.825882 link]

'''2008'''

Garrigues P.J., El Ghaoui L., An Homotopy Algorithm for the Lasso with Online Observations. Advances in Neural Information Processing Systems 21 (NIPS 2008). [http://www.eecs.berkeley.edu/~garrigue/nips08_reclasso.pdf pdf]

Monaci G., Sommer F. T. and Vandergheynst P., Learning Sparse Generative Models of Audiovisual Signals, Proc. of European Conf. on Signal Processing (EUSIPCO08), 2008 [http://redwood.berkeley.edu/w/images/3/37/Eusipco08.pdf pdf]

'''2007'''

Garrigues P.J. Olshausen B.A. (2007) Learning Horizontal Connections in a Sparse Coding Model of Natural Images. To appear in Advances in Neural Information Processing Systems 20 (NIPS 2007) [http://www.eecs.berkeley.edu/~garrigue/nips07_horizontalconnections.pdf pdf]

Olshausen, B., C. Cadieu, J. Culpepper, and D.K. Warland. (2007) Bilinear Models of Natural Images, Proc. SPIE Int. Soc. Opt. Eng. 6492, 649206, February 2007. [http://redwood.berkeley.edu/cadieu/pubs/bilinear-SPIE07.pdf pdf]

'''2005'''

Bell A.J., Parra L.C. (2005) Maximising Sensitivity in a Spiking Network, ''Advances in Neural Information Processing Systems 17'', Saul L.K. and Weiss Y. and Bottou L., MIT Press, Cambridge, MA
[http://newton.bme.columbia.edu/~lparra/publish/nips04-BellParra.pdf pdf]

== Technical Reports ==
Cadieu CF, Koepsell K (2010) Modeling Image Structure with Factorized Phase-Coupled Boltzmann Machines. November 2010. [http://arxiv.org/abs/1011.4058 arXiv:1011.4058v1] [cs.CV]. [http://arxiv.org/pdf/1011.4058 pdf]

Kanerva P (2010). What we mean when we say "What's the Dollar of Mexico?": Prototypes and mapping in concept space. Report FS-10-08-006, AAAI Fall Symposium on Quantum Informatics for Cognitive, Social, and Semantic Processes. [http://www.aaai.org/Press/press.php link]. [http://redwood.berkeley.edu/pkanerva/papers/kanerva10-dollarofmexico.pdf pdf]

Sohl-Dickstein J, Wang CM, Olshausen BA (2010) An Unsupervised Algorithm For Learning Lie Group Transformations. [http://arxiv.org/abs/1001.1027 pdf]

Cadieu CF, Koepsell K (2009) Phase Coupling Estimation from Multivariate Phase Statistics. June 2009. [http://arxiv.org/abs/0906.3844v1 arXiv:0906.3844v1] [nlin.AO]. [http://arxiv.org/pdf/0906.3844v1 pdf]

W. K. Coulter, C. J. Hillar, F. T. Sommer (2009) Adaptive compressed sensing - a new class of self-organizing coding models for neuroscience. arXiv.org > q-bio > arXiv:0906.1202 [http://redwood.berkeley.edu/fsommer/papers/0906.1202v1.pdf pdf]

Cadieu C, Koepsell K (2008) A Multivariate Phase Distribution and its Estimation. September 2008. [http://arxiv.org/abs/0809.4291v2 arXiv:0809.4291v2] [q-bio.NC]. [http://arxiv.org/pdf/0809.4291v2 pdf]

== Talks and Posters ==

'''2010'''

Koepsell K (2010) Collective computation with neural assemblies -- from connectivity to network dynamics and back. Invited talk, Center for Mind and Brain, UC Davis, CA.

Koepsell K (2010) The role of oscillations for cortical communications. Invited talk, Theory Group, Los Alamos National Lab, Los Alamos, NM.

Rokem A, Trumpis M, Perez F, Ivanov P, Koepsell K, Blanche T, Fegen D, D’Esposito M (2010) Nitime: an open-source package for time-series analysis of neuroscience data. Poster presentation, Human Brain Mapping Annual Meeting, Barcelona, Spain.

Koepsell K (2010) Detecting functional connectivity in networks of phase-coupled neural oscillators. Invited talk, Workshop on Multi-Scale Complex Dynamics in the Brain at CSYNE 2010.

'''2009'''

Cadieu, C., L. Secundo, E. Chang, B.J. Culpepper, N.M. Barbaro, B.A. Olshausen, R.T. Knight. (2009) Sparse Space-Time Decompositions of ECoG signals. Program No. 894.9/HH7. Chicago, IL: Society for Neuroscience, 2009.

Koepsell K (2009) Phase coupling estimation from multivariate phase statistics. Invited talk, ''Smith-Kettlewell Eye Research Institute'', San Francisco, California.

Koepsell K (2009) Phase coupling estimation in coupled oscillator systems. Invited talk, ''Mathematical Biology Seminar'', UC Davis.

Cadieu CF, Koepsell K (2009) A multivariate phase distribution and its estimation. ''Computational and Systems Neuroscience'', Salt Lake City, UT. Frontiers in Systems Neuroscience. Conference Abstract: Computational and systems neuroscience. doi: 10.3389/conf.neuro.06.2009.03.260

Huth A, Cadieu CF, Dale CL, Weber D, Pantazis D, Darvas F, Leahy R, Simpson GV, Koepsell K (2009) Detecting functional connectivity in networks of phase-coupled neural oscillators. ''Computational and Systems Neuroscience'', Salt Lake City, UT. Frontiers in Systems Neuroscience. Conference Abstract: Computational and systems neuroscience. doi: 10.3389/conf.neuro.06.2009.03.258

T.Z. Lauritzen and A. Wade. (2009) Different cortical areas are modulated in different ways by spatial attention in human visual cortex. Optical Society of America, Fall vision meeting. September 24-26, 2009, Seattle, Washington, and Journal of Vision, 9(14):44, 44a. [http://journalofvision.org/9/14/44/ link]

T.Z. Lauritzen and A. Wade. (2009) Spatial attention modulates steady state visually-evoked potentials in human visual cortex by a multiplicative gain function. Annual meeting of the Organization for Human Brain Mapping, San Francisco, CA, June 18-23, 2009.

T.Z. Lauritzen and A. Wade. (2009) Spatial attention modulates steady state VEPs in retinotopic human visual cortex. COSYNE Meeting, Salt Lake City and Snowbird, Utah, February 26 - March 3, 2009.

'''2008'''

Blanche TJ, Koepsell K, Swindale N, Olshausen BA (2008) Predicting response variability in the
primary visual cortex. ''Computational and Systems Neuroscience'', Salt
Lake City, UT.

Canolty RT, Soltani M, Koepsell K, Cadieu C, Dalal SS, Edwards E, Nagarajan SS, Kirsch HE, Barbaro NM and Knight RT (2008). Auditory target detection activates frontal and parietal cortices: Evidence from high gamma power and low-frequency phase coherence in the subdural electrocorticogram. Frontiers in Human Neuroscience. Conference Abstract: 10th International Conference on Cognitive Neuroscience. doi: 10.3389/conf.neuro.09.2009.01.119

Cadieu, C., B. Olshausen. (2008) Learning Transformational Invariants from Time-Varying Natural Images. Computational and Systems Neuroscience (Cosyne), Salt Lake City, March 2008. [http://redwood.berkeley.edu/cadieu/pubs/CadieuOlshausen2008_Cosyne-abstract.pdf abstract] [http://redwood.berkeley.edu/cadieu/pubs/videos/Cadieu_Cosyne08.mov talk]

Koepsell K (2008) Spike timing in the context of network dynamics from retina to cortex.
Conference talk, ''Computational and Systems Neuroscience'', Salt Lake City, UT.

Koepsell K, Blanche TJ, Swindale N, Olshausen BA (2008) Modeling the inﬂuence of local
network activity on neuron spiking responses in primary visual cortex.
''Computational and Systems Neuroscience'', Salt Lake City, UT.

T.Z. Lauritzen, M. D’Esposito, D. Heeger and M.A. Silver. (2008) Functional networks underlying human top-down visual spatial attention. Annual Cognitive Neuroscience Society Meeting. April 12-15, 2008, San Francisco, California.

T.Z. Lauritzen, M. D’Esposito, D. Heeger and M.A. Silver. (2008) Human visual attention networks revealed by fMRI coherency analysis. COSYNE Meeting, Salt Lake City and Snowbird, Utah, February 28 - March 4, 2008.

'''2007'''

Blanche TJ (2007) The influence of cortical dynamics on spike timing precision in cat V1. ''Smith-Kettlewell Eye Research Institute'', San Francisco, California.

Cadieu, C., B. Olshausen. (2007) Learning Invariant and Variant Components of Time Varying Natural Images Using a Sparse, Multiplicative Model. Computational and Systems Neuroscience (Cosyne) Salt Lake City, March 2007, & Vision Sciences Society, Sarasota May 2007. [http://redwood.berkeley.edu/cadieu/pubs/CadieuOlshausen_Cosyne_2007.pdf abstract]

Koepsell K (2007) The hidden clock in LGN -- is phase coding employed in early vision?.
''Göttingen Neurobiology Conference'', Göttingen, Germany

Garrigues PJ, Olshausen BA (2007) Learning Horizontal Connections from the Statistics of Natural Images. ''Computational and Systems Neuroscience'', Salt Lake City, Utah.

Blanche TJ (2007) How active is the cortex? ''COSYNE [http://www.cosyne.org/How_active_is_the_cortex%3F workshop]'', The Canyons, Utah.

Blanche TJ, Koepsell K (2007) Spike timing precision and the influence of cortical dynamics. ''Grand Challenges in Neural Computation'', Santa Fe, New Mexico.

T.Z. Lauritzen, M. D’Esposito, D. Heeger and M.A. Silver. (2007) Functional networks underlying top-down visual spatial attention in the human brain. Society for neuroscience annual meeting, 2007, abstract 423.9.

Lauritzen TZ, Shenhav, Silver MA (2007) fMRI coherency analysis reveals feedforward progression of visual responses in human early visual cortex ''OSA fall vision meeting'', Berkeley, CA.

Lauritzen TZ (2007) Functional networks underlying top-down visual spatial attention in the human brain ''IMM, Danish Technical University, Lyngby, Denmark''.

Lauritzen TZ (2007) Neural mechanisms of sustained visual spatial attention ''ENS, Paris, France''.

'''2006'''

Blanche TJ, Freiwald WA, Swindale NV (2006) Neural sparseness in cat and monkey visual cortex studied with silicon polytrode arrays. ''Society for Neuroscience''.

Koepsell K, Wang X, Wei Y, Wang Q, Vaingankar V, Hirsch JA, Sommer FT (2006)
Retinal oscillations carry visual information to cortex. ''Computational and Systems Neuroscience'', Salt Lake City, Utah.

Koepsell K, Wang X, Wei Y, Wang Q, Vaingankar V, Hirsch JA, Sommer FT (2006)
Two channels for visual information to travel from thalamus to cortex. ''Society for Neuroscience''.

Lauritzen TZ (2006) Attention modulation mediated through correlations in the local field potential ''Annual cognitive neuroscience soc meeting'', San Francisco, CA.

'''2005'''

Koepsell K, Wang X, Wei Y, Wang Q, Vaingankar V, Hirsch JA, Sommer FT (2005)
Ongoing retinal activity explains variability of thalamic responses. ''Society for Neuroscience''.

Lauritzen TZ (2005) Correlations in the local field potential yield non-linear neural response changes ''Society for Neuroscience'', Abstract 274.25.

Lauritzen TZ (2005) Contribution of physiological noise to dendritic non-linearities ''COSYNE'', Salt Lake City, Utah.

== Redwood Neuroscience Institute ==

An incomplete list of publications from the Redwood Neuroscience Institute (2002-2005) is available [http://www.rni.org/pubs.html here] (will be updated soon).

Publications

2011-04-07T21:42:38Z

Pkanerva:

__NOEDITSECTION__
== Journal Papers ==
'''2011'''

Wang X, Vaingankar V, Soto Sanchez C, Sommer FT, Hirsch JA (2011) Thalamic interneurons and relay cells use complementary synaptic mechanisms for visual processing. Nature Neuroscience 14: 224-231

'''2010'''

Cadieu CF, Koepsell K (2010) Phase Coupling Estimation from Multivariate Phase Statistics. Neural Computation 22(12), pp. 3107 - 3126. [http://redwood.berkeley.edu/klab/papers/CadieuKoepsell_PCE_NeuralComp.pdf pdf]

Canolty RT, Ganguly K, Kennerley SW, Cadieu CF, Koepsell K, Wallis JD, Carmena JM (2010) Oscillatory phase coupling coordinates anatomically-dispersed cell assemblies. PNAS 107(40) 17356 - 17361. [http://dx.doi.org/10.1073/pnas.1008306107 journal] [http://redwood.berkeley.edu/klab/papers/PNAS-2010-Canolty-17356-61.pdf pdf][http://redwood.berkeley.edu/klab/papers/PNAS-2010-Canolty-17356-61_supp.pdf supplement]

Knoblauch A, Palm G, Sommer FT (2010) Memory capacities for synaptic and structural plasticity. Neural Computation, Volume 22 (2): 289-341 [http://redwood.berkeley.edu/fsommer/papers/knoblauchpalmsommer10.pdf pdf]

Koepsell K, Wang X, Hirsch JA, Sommer FT (2010) Exploring the function of neural oscillations in early sensory systems. Focused review in Frontiers in Neuroscience 4 (1): 53-61. [http://frontiersin.org/neuroscience/neuroscience/paper/10.3389/neuro.01/010.2010/ Frontiers in Neuroscience]

Lauritzen TZ, Ales JM, Wade AR (2010) The effects of visuospatial attention measured across visual cortex using source-imaged, steady-state EEG. J. of Vision 10(14)39: 1 - 17. [http://www.journalofvision.org/content/10/14/39.full.pdf+html pdf][http://www.journalofvision.org/content/10/14/39/suppl/DCSupplementaries supplement]

Tsao DY, Cadieu C, and Livingstone M (2010) Object Recognition: Physiological and Computational Insights. In Primate Neuroethology. Edited by M. Platt and A. Ghazanfar. Oxford University Press. 2010 (in press)

Wang X, Hirsch JA, Sommer FT (2010) Recoding of sensory information across the retinothalamic synapse. Journal of Neuroscience 30: 13567-13577

'''2009'''

Kanerva P (2009). Hyperdimensional Computing: An Introduction to Computing in Distributed Representation with High-Dimensional Random Vectors. ''Cognitive Computation'' 1: 139-159 [http://www.springerlink.com/content/966151841g415165/ link] [http://redwood.berkeley.edu/pkanerva/papers/kanerva09-hyperdimensional.pdf pdf]

Koepsell K, Wang X, Vaingankar V, Wei Y, Wang Q, Rathbun DL, Usrey W, Hirsch J and Sommer FT (2009)
Retinal oscillations carry visual information to cortex. Front Syst Neurosci 3:4 [http://dx.doi.org/10.3389/neuro.06.004.2009 pdf]

Lauritzen TZ, D’Esposito M, Heeger D and Silver MA. (2009) Top-down flow of visual spatial attention signals from parietal to occipital cortex. Journal of Vision, 9(13):18, 1-14. [http://journalofvision.org/9/13/18/ link]

Ming, V. & Holt, L. (2009) Efficient coding in human auditory perception. J. Acoust. Soc. Am. 126.

Monaci G, Vandergheynst P, Sommer FT (2009) Learning bimodal structure in audio-visual data. IEEE Transactions on Neural Networks 20:1898-1910 [http://redwood.berkeley.edu/fsommer/papers/Monaci_etal_IEEE_NN09.pdf pdf]

Para LC, Beck JM, Bell AJ (2009) On the maximization of information flow between spiking neurons. Neural Computation, in press

'''2008'''

Koepsell K, Sommer FT (2008) Information transmission in oscillatory neural activity.
Biological Cybernetics 99:403–416 [http://dx.doi.org/10.1007/s00422-008-0273-6 abstract] [http://redwood.berkeley.edu/fsommer/papers/koepsellsommer08bicy.pdf pdf]

Rozell CJ, Johnson DH, Baraniuk RG, Olshausen BA (2008) Sparse Coding via Thresholding and Local Competition in Neural Circuits. Neural Computation, 20:2526-2563 [http://redwood.berkeley.edu/bruno/papers/garrigues_olshausen_nips2007.pdf pdf]

Teeters JL, Harris KD, Millman KJ, Olshausen BA, Sommer FT (2008) Data sharing for computational neuroscience. Neuroinformatics 6:47-55 [http://redwood.berkeley.edu/fsommer/papers/teetersetal08.pdf pdf]

'''2007'''

Rehn M, Sommer FT (2007) A network that uses few active neurones to code visual input predicts the diverse shapes of cortical receptive fields. J. Comp. Neurosci. 22 (2): 135-146. [http://redwood.berkeley.edu/fsommer/papers/rehnsommer07jcns.pdf pdf]

Sommer FT (2007) Bunte Theorien für graue Zellen. [http://www.gehirn-und-geist.de/artikel/872207 Gehirn und Geist], Juni 70-76

Wang X, Wei Y, Vaingankar V, Wang Q, Koepsell K, Sommer FT, Hirsch JA (2007) Feedforward excitation and inhibition evoke dual modes of firing in the cat’s visual thalamus during naturalistic viewing. Neuron 55 (2007) 465-478. [http://redwood.berkeley.edu/fsommer/papers/wangetal07neuron.pdf pdf]
See also the preview about this paper: P. Reinagel: The inner life of bursts. Neuron 55: 339-341

'''2006'''

Bethge M (2006) Factorial coding of natural images: how effective are
linear models in removing higher-order dependencies?
''J. Opt. Soc. Am.'' A, 23(6): 1253-1268.

Rehn M, Sommer FT (2006) Storing and restoring visual input with collaborative rank coding and associative memory.
''Neurocomputing'' 69 (10-12) 1219-1223 [http://redwood.berkeley.edu/~fsommer/papers/rehnsommer06neurocomp.pdf pdf]

Sommer FT, Kanerva P (2006) Can neural models of cognition benefit from the advantages of connectionism?
''Behavoral and Brain Sciences'' 29 (1) 86-87 [http://redwood.berkeley.edu/~fsommer/papers/sommerkanerva05.pdf pdf]

'''2005'''

George D, Sommer FT (2005) Computing with inter-spike inverval codes
in networks of integrate and fire neurons. ''Neurocomputing'' 65-66, 414 -
420. [http://redwood.berkeley.edu/~fsommer/papers/georgesommer05.pdf pdf]

Johnson JS, Olshausen BA (2005) The recognition of partially visible
natural objects in the presence and absence of their occluders.
''Vision Research'', 45, 3262-3276. [http://redwood.berkeley.edu/bruno/papers/VR05-occlusion.pdf pdf]

Johnson JS, Olshausen BA (2005) The earliest EEG signatures of object
recognition in a cued-target task are postsensory. ''Journal of Vision'',
5, 299-312. [http://journalofvision.org/5/4/2/ link]

Martinez LM, Wang Q, Reid RC, Pillai C, Alonso J-M, Sommer FT,
Hirsch JA (2005) Receptive field structure varies with layer in the
primary visual cortex. ''Nature Neuroscience'' 8 , 372 - 379
[http://redwood.berkeley.edu/~fsommer/papers/martinezetal05.pdf pdf]

Olshausen BA, Field DJ (2005) How close are we to understanding V1?
''Neural Computation'', 17, 1665-1699. [http://redwood.berkeley.edu/bruno/papers/V1-article.pdf pdf]

Sommer FT, Wennekers T (2005) Synfire chains with conductance-based
neurons: internal timing and coordination with timed
input. ''Neurocomputing'' 65-66, 449 - 454.
[http://redwood.berkeley.edu/~fsommer/papers/sommerwennekers05.pdf pdf]

== Refereed Conference Proceedings ==
'''2011'''

G. Isely, C. Hillar, F. T. Sommer: Decyphering subsampled data: Adaptive compressive sampling as a principle of brain communication. Advances in Neural Information Processing Systems 23. Eds: J. Lafferty and C. K. I. Williams and J. Shawe-Taylor and R.S. Zemel and A. Culotta (2011) 910-918 [http://www.google.com/url?sa=t&source=web&cd=1&ved=0CBoQFjAA&url=http%3A%2F%2Fbooks.nips.cc%2Fpapers%2Ffiles%2Fnips23%2FNIPS2010_1099.pdf&ei=aPFvTdLvLZHGsAPZ-5i_Cw&usg=AFQjCNGKtk3i_t5iSyxpdMcqMoLFhKf8OA&sig2=dnZxP1kl2pav20u7wloNSw pdf]

'''2010'''

Canolty RT, Ganguly K, Kennerley SW, Cadieu CF, Koepsell K, Wallis JD, Carmena JM (2010)
Single-neuron spike timing depends on global brain dynamics. Computational and Systems
Neuroscience 2010. doi: 10.3389/conf.fnins.2010.03.00264 [http://www.frontiersin.org/conferences/individual_abstract_listing.php?conferid=770&pap=3555&ind_abs=1&q=197 abstract]

M.A. Silver, A.N Landau, T.Z. Lauritzen, W Prinzmetal, L.C. Robertson. Isolating human brain functional connectivity associated with a specific cognitive process. Proceedings of SPIE Volume 7527 – In press.

Culpepper B.J., Olshausen B.A. Learning transport operators for image manifolds. Advances in Neural Information Processing Systems (NIPS), 22. (2010) Y. Bengio, D. Schuurmans, J. Lafferty, C. K. I. Williams and A. Culotta. [http://www.cs.berkeley.edu/~bjc/culpepper-nips22.pdf pdf] [http://www.cs.berkeley.edu/~bjc/culpepper-nips22-supplementary.pdf supplementary materials]

'''2009'''

Huth A, Cadieu CF, Dale CL, Weber D, Pantazis D, Darvas F, Leahy R, Simpson GV, Koepsell K (2009) Detecting functional connectivity in networks of phase-coupled neural oscillators, Poster presentation, Computational and Systems Neuroscience. doi: 10.3389/conf.neuro.06.2009.03.258 [http://frontiersin.org/conferences/individual_abstract_listing.php?conferid=39&pap=1341 abstract]

Charles CF, Koepsell K (2009) A multivariate phase distribution and its estimation, Poster presentation, Computational and Systems Neuroscience. doi: 10.3389/conf.neuro.06.2009.03.260 [http://frontiersin.org/conferences/individual_abstract_listing.php?conferid=39&pap=1343 abstract]


Cadieu C.F., Olshausen B.A., (2009) Learning Transformational Invariants from Natural Movies. Advances in Neural Information Processing Systems (NIPS), 21:209-216, 2009. D. Koller and D. Schuurmans and Y. Bengio and L. Bottou, MIT Press, Cambridge, MA. [http://books.nips.cc/papers/files/nips21/NIPS2008_0200.pdf pdf] [Movies: Figure 2 [http://redwood.berkeley.edu/cadieu/pubs/videos/movie_TransInv_Figure2.wmv wmv] / [http://redwood.berkeley.edu/cadieu/pubs/videos/movie_TransInv_Figure2.mov mov] , 4a [http://redwood.berkeley.edu/cadieu/pubs/videos/movie_TransInv_Figure4a.avi avi] / [http://redwood.berkeley.edu/cadieu/pubs/videos/movie_TransInv_Figure4a.mov mov] , 4b [http://redwood.berkeley.edu/cadieu/pubs/videos/movie_TransInv_Figure4b.avi avi] / [http://redwood.berkeley.edu/cadieu/pubs/videos/movie_TransInv_Figure4b.mov mov] , 4c [http://redwood.berkeley.edu/cadieu/pubs/videos/movie_TransInv_Figure4c.avi avi] / [http://redwood.berkeley.edu/cadieu/pubs/videos/movie_TransInv_Figure4c.mov mov] , 4d [http://redwood.berkeley.edu/cadieu/pubs/videos/movie_TransInv_Figure4d.avi avi] / [http://redwood.berkeley.edu/cadieu/pubs/videos/movie_TransInv_Figure4d.mov mov] ]

Olshausen, B., C. Cadieu, and D.K. Warland. (2009) Learning Real and Complex Overcomplete Representations from the Statistics of Natural Images, Proc. SPIE 7446, 74460S, 2009. [http://dx.doi.org/10.1117/12.825882 link]

'''2008'''

Garrigues P.J., El Ghaoui L., An Homotopy Algorithm for the Lasso with Online Observations. Advances in Neural Information Processing Systems 21 (NIPS 2008). [http://www.eecs.berkeley.edu/~garrigue/nips08_reclasso.pdf pdf]

Monaci G., Sommer F. T. and Vandergheynst P., Learning Sparse Generative Models of Audiovisual Signals, Proc. of European Conf. on Signal Processing (EUSIPCO08), 2008 [http://redwood.berkeley.edu/w/images/3/37/Eusipco08.pdf pdf]

'''2007'''

Garrigues P.J. Olshausen B.A. (2007) Learning Horizontal Connections in a Sparse Coding Model of Natural Images. To appear in Advances in Neural Information Processing Systems 20 (NIPS 2007) [http://www.eecs.berkeley.edu/~garrigue/nips07_horizontalconnections.pdf pdf]

Olshausen, B., C. Cadieu, J. Culpepper, and D.K. Warland. (2007) Bilinear Models of Natural Images, Proc. SPIE Int. Soc. Opt. Eng. 6492, 649206, February 2007. [http://redwood.berkeley.edu/cadieu/pubs/bilinear-SPIE07.pdf pdf]

'''2005'''

Bell A.J., Parra L.C. (2005) Maximising Sensitivity in a Spiking Network, ''Advances in Neural Information Processing Systems 17'', Saul L.K. and Weiss Y. and Bottou L., MIT Press, Cambridge, MA
[http://newton.bme.columbia.edu/~lparra/publish/nips04-BellParra.pdf pdf]

== Technical Reports ==

Cadieu CF, Koepsell K (2010) Modeling Image Structure with Factorized Phase-Coupled Boltzmann Machines. November 2010. [http://arxiv.org/abs/1011.4058 arXiv:1011.4058v1] [cs.CV]. [http://arxiv.org/pdf/1011.4058 pdf]

Sohl-Dickstein J, Wang CM, Olshausen BA (2010) An Unsupervised Algorithm For Learning Lie Group Transformations. [http://arxiv.org/abs/1001.1027 pdf]

Cadieu CF, Koepsell K (2009) Phase Coupling Estimation from Multivariate Phase Statistics. June 2009. [http://arxiv.org/abs/0906.3844v1 arXiv:0906.3844v1] [nlin.AO]. [http://arxiv.org/pdf/0906.3844v1 pdf]

W. K. Coulter, C. J. Hillar, F. T. Sommer (2009) Adaptive compressed sensing - a new class of self-organizing coding models for neuroscience. arXiv.org > q-bio > arXiv:0906.1202 [http://redwood.berkeley.edu/fsommer/papers/0906.1202v1.pdf pdf]

Cadieu C, Koepsell K (2008) A Multivariate Phase Distribution and its Estimation. September 2008. [http://arxiv.org/abs/0809.4291v2 arXiv:0809.4291v2] [q-bio.NC]. [http://arxiv.org/pdf/0809.4291v2 pdf]

== Talks and Posters ==

'''2010'''

Koepsell K (2010) Collective computation with neural assemblies -- from connectivity to network dynamics and back. Invited talk, Center for Mind and Brain, UC Davis, CA.

Koepsell K (2010) The role of oscillations for cortical communications. Invited talk, Theory Group, Los Alamos National Lab, Los Alamos, NM.

Rokem A, Trumpis M, Perez F, Ivanov P, Koepsell K, Blanche T, Fegen D, D’Esposito M (2010) Nitime: an open-source package for time-series analysis of neuroscience data. Poster presentation, Human Brain Mapping Annual Meeting, Barcelona, Spain.

Koepsell K (2010) Detecting functional connectivity in networks of phase-coupled neural oscillators. Invited talk, Workshop on Multi-Scale Complex Dynamics in the Brain at CSYNE 2010.

'''2009'''

Cadieu, C., L. Secundo, E. Chang, B.J. Culpepper, N.M. Barbaro, B.A. Olshausen, R.T. Knight. (2009) Sparse Space-Time Decompositions of ECoG signals. Program No. 894.9/HH7. Chicago, IL: Society for Neuroscience, 2009.

Koepsell K (2009) Phase coupling estimation from multivariate phase statistics. Invited talk, ''Smith-Kettlewell Eye Research Institute'', San Francisco, California.

Koepsell K (2009) Phase coupling estimation in coupled oscillator systems. Invited talk, ''Mathematical Biology Seminar'', UC Davis.

Cadieu CF, Koepsell K (2009) A multivariate phase distribution and its estimation. ''Computational and Systems Neuroscience'', Salt Lake City, UT. Frontiers in Systems Neuroscience. Conference Abstract: Computational and systems neuroscience. doi: 10.3389/conf.neuro.06.2009.03.260

Huth A, Cadieu CF, Dale CL, Weber D, Pantazis D, Darvas F, Leahy R, Simpson GV, Koepsell K (2009) Detecting functional connectivity in networks of phase-coupled neural oscillators. ''Computational and Systems Neuroscience'', Salt Lake City, UT. Frontiers in Systems Neuroscience. Conference Abstract: Computational and systems neuroscience. doi: 10.3389/conf.neuro.06.2009.03.258

T.Z. Lauritzen and A. Wade. (2009) Different cortical areas are modulated in different ways by spatial attention in human visual cortex. Optical Society of America, Fall vision meeting. September 24-26, 2009, Seattle, Washington, and Journal of Vision, 9(14):44, 44a. [http://journalofvision.org/9/14/44/ link]

T.Z. Lauritzen and A. Wade. (2009) Spatial attention modulates steady state visually-evoked potentials in human visual cortex by a multiplicative gain function. Annual meeting of the Organization for Human Brain Mapping, San Francisco, CA, June 18-23, 2009.

T.Z. Lauritzen and A. Wade. (2009) Spatial attention modulates steady state VEPs in retinotopic human visual cortex. COSYNE Meeting, Salt Lake City and Snowbird, Utah, February 26 - March 3, 2009.

'''2008'''

Blanche TJ, Koepsell K, Swindale N, Olshausen BA (2008) Predicting response variability in the
primary visual cortex. ''Computational and Systems Neuroscience'', Salt
Lake City, UT.

Canolty RT, Soltani M, Koepsell K, Cadieu C, Dalal SS, Edwards E, Nagarajan SS, Kirsch HE, Barbaro NM and Knight RT (2008). Auditory target detection activates frontal and parietal cortices: Evidence from high gamma power and low-frequency phase coherence in the subdural electrocorticogram. Frontiers in Human Neuroscience. Conference Abstract: 10th International Conference on Cognitive Neuroscience. doi: 10.3389/conf.neuro.09.2009.01.119

Cadieu, C., B. Olshausen. (2008) Learning Transformational Invariants from Time-Varying Natural Images. Computational and Systems Neuroscience (Cosyne), Salt Lake City, March 2008. [http://redwood.berkeley.edu/cadieu/pubs/CadieuOlshausen2008_Cosyne-abstract.pdf abstract] [http://redwood.berkeley.edu/cadieu/pubs/videos/Cadieu_Cosyne08.mov talk]

Koepsell K (2008) Spike timing in the context of network dynamics from retina to cortex.
Conference talk, ''Computational and Systems Neuroscience'', Salt Lake City, UT.

Koepsell K, Blanche TJ, Swindale N, Olshausen BA (2008) Modeling the inﬂuence of local
network activity on neuron spiking responses in primary visual cortex.
''Computational and Systems Neuroscience'', Salt Lake City, UT.

T.Z. Lauritzen, M. D’Esposito, D. Heeger and M.A. Silver. (2008) Functional networks underlying human top-down visual spatial attention. Annual Cognitive Neuroscience Society Meeting. April 12-15, 2008, San Francisco, California.

T.Z. Lauritzen, M. D’Esposito, D. Heeger and M.A. Silver. (2008) Human visual attention networks revealed by fMRI coherency analysis. COSYNE Meeting, Salt Lake City and Snowbird, Utah, February 28 - March 4, 2008.

'''2007'''

Blanche TJ (2007) The influence of cortical dynamics on spike timing precision in cat V1. ''Smith-Kettlewell Eye Research Institute'', San Francisco, California.

Cadieu, C., B. Olshausen. (2007) Learning Invariant and Variant Components of Time Varying Natural Images Using a Sparse, Multiplicative Model. Computational and Systems Neuroscience (Cosyne) Salt Lake City, March 2007, & Vision Sciences Society, Sarasota May 2007. [http://redwood.berkeley.edu/cadieu/pubs/CadieuOlshausen_Cosyne_2007.pdf abstract]

Koepsell K (2007) The hidden clock in LGN -- is phase coding employed in early vision?.
''Göttingen Neurobiology Conference'', Göttingen, Germany

Garrigues PJ, Olshausen BA (2007) Learning Horizontal Connections from the Statistics of Natural Images. ''Computational and Systems Neuroscience'', Salt Lake City, Utah.

Blanche TJ (2007) How active is the cortex? ''COSYNE [http://www.cosyne.org/How_active_is_the_cortex%3F workshop]'', The Canyons, Utah.

Blanche TJ, Koepsell K (2007) Spike timing precision and the influence of cortical dynamics. ''Grand Challenges in Neural Computation'', Santa Fe, New Mexico.

T.Z. Lauritzen, M. D’Esposito, D. Heeger and M.A. Silver. (2007) Functional networks underlying top-down visual spatial attention in the human brain. Society for neuroscience annual meeting, 2007, abstract 423.9.

Lauritzen TZ, Shenhav, Silver MA (2007) fMRI coherency analysis reveals feedforward progression of visual responses in human early visual cortex ''OSA fall vision meeting'', Berkeley, CA.

Lauritzen TZ (2007) Functional networks underlying top-down visual spatial attention in the human brain ''IMM, Danish Technical University, Lyngby, Denmark''.

Lauritzen TZ (2007) Neural mechanisms of sustained visual spatial attention ''ENS, Paris, France''.

'''2006'''

Blanche TJ, Freiwald WA, Swindale NV (2006) Neural sparseness in cat and monkey visual cortex studied with silicon polytrode arrays. ''Society for Neuroscience''.

Koepsell K, Wang X, Wei Y, Wang Q, Vaingankar V, Hirsch JA, Sommer FT (2006)
Retinal oscillations carry visual information to cortex. ''Computational and Systems Neuroscience'', Salt Lake City, Utah.

Koepsell K, Wang X, Wei Y, Wang Q, Vaingankar V, Hirsch JA, Sommer FT (2006)
Two channels for visual information to travel from thalamus to cortex. ''Society for Neuroscience''.

Lauritzen TZ (2006) Attention modulation mediated through correlations in the local field potential ''Annual cognitive neuroscience soc meeting'', San Francisco, CA.

'''2005'''

Koepsell K, Wang X, Wei Y, Wang Q, Vaingankar V, Hirsch JA, Sommer FT (2005)
Ongoing retinal activity explains variability of thalamic responses. ''Society for Neuroscience''.

Lauritzen TZ (2005) Correlations in the local field potential yield non-linear neural response changes ''Society for Neuroscience'', Abstract 274.25.

Lauritzen TZ (2005) Contribution of physiological noise to dendritic non-linearities ''COSYNE'', Salt Lake City, Utah.

== Redwood Neuroscience Institute ==

An incomplete list of publications from the Redwood Neuroscience Institute (2002-2005) is available [http://www.rni.org/pubs.html here] (will be updated soon).

Publications

2011-04-06T21:11:57Z

Pkanerva:

__NOEDITSECTION__
== Journal Papers ==
'''2011'''

Wang X, Vaingankar V, Soto Sanchez C, Sommer FT, Hirsch JA (2011) Thalamic interneurons and relay cells use complementary synaptic mechanisms for visual processing. Nature Neuroscience 14: 224-231

'''2010'''

Cadieu CF, Koepsell K (2010) Phase Coupling Estimation from Multivariate Phase Statistics. Neural Computation 22(12), pp. 3107 - 3126. [http://redwood.berkeley.edu/klab/papers/CadieuKoepsell_PCE_NeuralComp.pdf pdf]

Canolty RT, Ganguly K, Kennerley SW, Cadieu CF, Koepsell K, Wallis JD, Carmena JM (2010) Oscillatory phase coupling coordinates anatomically-dispersed cell assemblies. PNAS 107(40) 17356 - 17361. [http://dx.doi.org/10.1073/pnas.1008306107 journal] [http://redwood.berkeley.edu/klab/papers/PNAS-2010-Canolty-17356-61.pdf pdf][http://redwood.berkeley.edu/klab/papers/PNAS-2010-Canolty-17356-61_supp.pdf supplement]

Knoblauch A, Palm G, Sommer FT (2010) Memory capacities for synaptic and structural plasticity. Neural Computation, Volume 22 (2): 289-341 [http://redwood.berkeley.edu/fsommer/papers/knoblauchpalmsommer10.pdf pdf]

Koepsell K, Wang X, Hirsch JA, Sommer FT (2010) Exploring the function of neural oscillations in early sensory systems. Focused review in Frontiers in Neuroscience 4 (1): 53-61. [http://frontiersin.org/neuroscience/neuroscience/paper/10.3389/neuro.01/010.2010/ Frontiers in Neuroscience]

Lauritzen TZ, Ales JM, Wade AR (2010) The effects of visuospatial attention measured across visual cortex using source-imaged, steady-state EEG. J. of Vision 10(14)39: 1 - 17. [http://www.journalofvision.org/content/10/14/39.full.pdf+html pdf][http://www.journalofvision.org/content/10/14/39/suppl/DCSupplementaries supplement]

Tsao DY, Cadieu C, and Livingstone M (2010) Object Recognition: Physiological and Computational Insights. In Primate Neuroethology. Edited by M. Platt and A. Ghazanfar. Oxford University Press. 2010 (in press)

Wang X, Hirsch JA, Sommer FT (2010) Recoding of sensory information across the retinothalamic synapse. Journal of Neuroscience 30: 13567-13577

'''2009'''

Kanerva P (2009) Hyperdimensional Computing: An Introduction to Computing in Distributed Representation with High-Dimensional Random Vectors. Cognitive Computation 1: 139-159 [http://www.springerlink.com/content/966151841g415165/ link] [http://redwood.berkeley.edu/pkanerva/papers/kanerva09-hyperdimensional.pdf pdf]

Koepsell K, Wang X, Vaingankar V, Wei Y, Wang Q, Rathbun DL, Usrey W, Hirsch J and Sommer FT (2009)
Retinal oscillations carry visual information to cortex. Front Syst Neurosci 3:4 [http://dx.doi.org/10.3389/neuro.06.004.2009 pdf]

Lauritzen TZ, D’Esposito M, Heeger D and Silver MA. (2009) Top-down flow of visual spatial attention signals from parietal to occipital cortex. Journal of Vision, 9(13):18, 1-14. [http://journalofvision.org/9/13/18/ link]

Ming, V. & Holt, L. (2009) Efficient coding in human auditory perception. J. Acoust. Soc. Am. 126.

Monaci G, Vandergheynst P, Sommer FT (2009) Learning bimodal structure in audio-visual data. IEEE Transactions on Neural Networks 20:1898-1910 [http://redwood.berkeley.edu/fsommer/papers/Monaci_etal_IEEE_NN09.pdf pdf]

Para LC, Beck JM, Bell AJ (2009) On the maximization of information flow between spiking neurons. Neural Computation, in press

'''2008'''

Koepsell K, Sommer FT (2008) Information transmission in oscillatory neural activity.
Biological Cybernetics 99:403–416 [http://dx.doi.org/10.1007/s00422-008-0273-6 abstract] [http://redwood.berkeley.edu/fsommer/papers/koepsellsommer08bicy.pdf pdf]

Rozell CJ, Johnson DH, Baraniuk RG, Olshausen BA (2008) Sparse Coding via Thresholding and Local Competition in Neural Circuits. Neural Computation, 20:2526-2563 [http://redwood.berkeley.edu/bruno/papers/garrigues_olshausen_nips2007.pdf pdf]

Teeters JL, Harris KD, Millman KJ, Olshausen BA, Sommer FT (2008) Data sharing for computational neuroscience. Neuroinformatics 6:47-55 [http://redwood.berkeley.edu/fsommer/papers/teetersetal08.pdf pdf]

'''2007'''

Rehn M, Sommer FT (2007) A network that uses few active neurones to code visual input predicts the diverse shapes of cortical receptive fields. J. Comp. Neurosci. 22 (2): 135-146. [http://redwood.berkeley.edu/fsommer/papers/rehnsommer07jcns.pdf pdf]

Sommer FT (2007) Bunte Theorien für graue Zellen. [http://www.gehirn-und-geist.de/artikel/872207 Gehirn und Geist], Juni 70-76

Wang X, Wei Y, Vaingankar V, Wang Q, Koepsell K, Sommer FT, Hirsch JA (2007) Feedforward excitation and inhibition evoke dual modes of firing in the cat’s visual thalamus during naturalistic viewing. Neuron 55 (2007) 465-478. [http://redwood.berkeley.edu/fsommer/papers/wangetal07neuron.pdf pdf]
See also the preview about this paper: P. Reinagel: The inner life of bursts. Neuron 55: 339-341

'''2006'''

Bethge M (2006) Factorial coding of natural images: how effective are
linear models in removing higher-order dependencies?
''J. Opt. Soc. Am.'' A, 23(6): 1253-1268.

Rehn M, Sommer FT (2006) Storing and restoring visual input with collaborative rank coding and associative memory.
''Neurocomputing'' 69 (10-12) 1219-1223 [http://redwood.berkeley.edu/~fsommer/papers/rehnsommer06neurocomp.pdf pdf]

Sommer FT, Kanerva P (2006) Can neural models of cognition benefit from the advantages of connectionism?
''Behavoral and Brain Sciences'' 29 (1) 86-87 [http://redwood.berkeley.edu/~fsommer/papers/sommerkanerva05.pdf pdf]

'''2005'''

George D, Sommer FT (2005) Computing with inter-spike inverval codes
in networks of integrate and fire neurons. ''Neurocomputing'' 65-66, 414 -
420. [http://redwood.berkeley.edu/~fsommer/papers/georgesommer05.pdf pdf]

Johnson JS, Olshausen BA (2005) The recognition of partially visible
natural objects in the presence and absence of their occluders.
''Vision Research'', 45, 3262-3276. [http://redwood.berkeley.edu/bruno/papers/VR05-occlusion.pdf pdf]

Johnson JS, Olshausen BA (2005) The earliest EEG signatures of object
recognition in a cued-target task are postsensory. ''Journal of Vision'',
5, 299-312. [http://journalofvision.org/5/4/2/ link]

Martinez LM, Wang Q, Reid RC, Pillai C, Alonso J-M, Sommer FT,
Hirsch JA (2005) Receptive field structure varies with layer in the
primary visual cortex. ''Nature Neuroscience'' 8 , 372 - 379
[http://redwood.berkeley.edu/~fsommer/papers/martinezetal05.pdf pdf]

Olshausen BA, Field DJ (2005) How close are we to understanding V1?
''Neural Computation'', 17, 1665-1699. [http://redwood.berkeley.edu/bruno/papers/V1-article.pdf pdf]

Sommer FT, Wennekers T (2005) Synfire chains with conductance-based
neurons: internal timing and coordination with timed
input. ''Neurocomputing'' 65-66, 449 - 454.
[http://redwood.berkeley.edu/~fsommer/papers/sommerwennekers05.pdf pdf]

== Refereed Conference Proceedings ==
'''2011'''

G. Isely, C. Hillar, F. T. Sommer: Decyphering subsampled data: Adaptive compressive sampling as a principle of brain communication. Advances in Neural Information Processing Systems 23. Eds: J. Lafferty and C. K. I. Williams and J. Shawe-Taylor and R.S. Zemel and A. Culotta (2011) 910-918 [http://www.google.com/url?sa=t&source=web&cd=1&ved=0CBoQFjAA&url=http%3A%2F%2Fbooks.nips.cc%2Fpapers%2Ffiles%2Fnips23%2FNIPS2010_1099.pdf&ei=aPFvTdLvLZHGsAPZ-5i_Cw&usg=AFQjCNGKtk3i_t5iSyxpdMcqMoLFhKf8OA&sig2=dnZxP1kl2pav20u7wloNSw pdf]

'''2010'''

Canolty RT, Ganguly K, Kennerley SW, Cadieu CF, Koepsell K, Wallis JD, Carmena JM (2010)
Single-neuron spike timing depends on global brain dynamics. Computational and Systems
Neuroscience 2010. doi: 10.3389/conf.fnins.2010.03.00264 [http://www.frontiersin.org/conferences/individual_abstract_listing.php?conferid=770&pap=3555&ind_abs=1&q=197 abstract]

M.A. Silver, A.N Landau, T.Z. Lauritzen, W Prinzmetal, L.C. Robertson. Isolating human brain functional connectivity associated with a specific cognitive process. Proceedings of SPIE Volume 7527 – In press.

Culpepper B.J., Olshausen B.A. Learning transport operators for image manifolds. Advances in Neural Information Processing Systems (NIPS), 22. (2010) Y. Bengio, D. Schuurmans, J. Lafferty, C. K. I. Williams and A. Culotta. [http://www.cs.berkeley.edu/~bjc/culpepper-nips22.pdf pdf] [http://www.cs.berkeley.edu/~bjc/culpepper-nips22-supplementary.pdf supplementary materials]

'''2009'''

Huth A, Cadieu CF, Dale CL, Weber D, Pantazis D, Darvas F, Leahy R, Simpson GV, Koepsell K (2009) Detecting functional connectivity in networks of phase-coupled neural oscillators, Poster presentation, Computational and Systems Neuroscience. doi: 10.3389/conf.neuro.06.2009.03.258 [http://frontiersin.org/conferences/individual_abstract_listing.php?conferid=39&pap=1341 abstract]

Charles CF, Koepsell K (2009) A multivariate phase distribution and its estimation, Poster presentation, Computational and Systems Neuroscience. doi: 10.3389/conf.neuro.06.2009.03.260 [http://frontiersin.org/conferences/individual_abstract_listing.php?conferid=39&pap=1343 abstract]


Cadieu C.F., Olshausen B.A., (2009) Learning Transformational Invariants from Natural Movies. Advances in Neural Information Processing Systems (NIPS), 21:209-216, 2009. D. Koller and D. Schuurmans and Y. Bengio and L. Bottou, MIT Press, Cambridge, MA. [http://books.nips.cc/papers/files/nips21/NIPS2008_0200.pdf pdf] [Movies: Figure 2 [http://redwood.berkeley.edu/cadieu/pubs/videos/movie_TransInv_Figure2.wmv wmv] / [http://redwood.berkeley.edu/cadieu/pubs/videos/movie_TransInv_Figure2.mov mov] , 4a [http://redwood.berkeley.edu/cadieu/pubs/videos/movie_TransInv_Figure4a.avi avi] / [http://redwood.berkeley.edu/cadieu/pubs/videos/movie_TransInv_Figure4a.mov mov] , 4b [http://redwood.berkeley.edu/cadieu/pubs/videos/movie_TransInv_Figure4b.avi avi] / [http://redwood.berkeley.edu/cadieu/pubs/videos/movie_TransInv_Figure4b.mov mov] , 4c [http://redwood.berkeley.edu/cadieu/pubs/videos/movie_TransInv_Figure4c.avi avi] / [http://redwood.berkeley.edu/cadieu/pubs/videos/movie_TransInv_Figure4c.mov mov] , 4d [http://redwood.berkeley.edu/cadieu/pubs/videos/movie_TransInv_Figure4d.avi avi] / [http://redwood.berkeley.edu/cadieu/pubs/videos/movie_TransInv_Figure4d.mov mov] ]

Olshausen, B., C. Cadieu, and D.K. Warland. (2009) Learning Real and Complex Overcomplete Representations from the Statistics of Natural Images, Proc. SPIE 7446, 74460S, 2009. [http://dx.doi.org/10.1117/12.825882 link]

'''2008'''

Garrigues P.J., El Ghaoui L., An Homotopy Algorithm for the Lasso with Online Observations. Advances in Neural Information Processing Systems 21 (NIPS 2008). [http://www.eecs.berkeley.edu/~garrigue/nips08_reclasso.pdf pdf]

Monaci G., Sommer F. T. and Vandergheynst P., Learning Sparse Generative Models of Audiovisual Signals, Proc. of European Conf. on Signal Processing (EUSIPCO08), 2008 [http://redwood.berkeley.edu/w/images/3/37/Eusipco08.pdf pdf]

'''2007'''

Garrigues P.J. Olshausen B.A. (2007) Learning Horizontal Connections in a Sparse Coding Model of Natural Images. To appear in Advances in Neural Information Processing Systems 20 (NIPS 2007) [http://www.eecs.berkeley.edu/~garrigue/nips07_horizontalconnections.pdf pdf]

Olshausen, B., C. Cadieu, J. Culpepper, and D.K. Warland. (2007) Bilinear Models of Natural Images, Proc. SPIE Int. Soc. Opt. Eng. 6492, 649206, February 2007. [http://redwood.berkeley.edu/cadieu/pubs/bilinear-SPIE07.pdf pdf]

'''2005'''

Bell A.J., Parra L.C. (2005) Maximising Sensitivity in a Spiking Network, ''Advances in Neural Information Processing Systems 17'', Saul L.K. and Weiss Y. and Bottou L., MIT Press, Cambridge, MA
[http://newton.bme.columbia.edu/~lparra/publish/nips04-BellParra.pdf pdf]

== Technical Reports ==

Cadieu CF, Koepsell K (2010) Modeling Image Structure with Factorized Phase-Coupled Boltzmann Machines. November 2010. [http://arxiv.org/abs/1011.4058 arXiv:1011.4058v1] [cs.CV]. [http://arxiv.org/pdf/1011.4058 pdf]

Sohl-Dickstein J, Wang CM, Olshausen BA (2010) An Unsupervised Algorithm For Learning Lie Group Transformations. [http://arxiv.org/abs/1001.1027 pdf]

Cadieu CF, Koepsell K (2009) Phase Coupling Estimation from Multivariate Phase Statistics. June 2009. [http://arxiv.org/abs/0906.3844v1 arXiv:0906.3844v1] [nlin.AO]. [http://arxiv.org/pdf/0906.3844v1 pdf]

W. K. Coulter, C. J. Hillar, F. T. Sommer (2009) Adaptive compressed sensing - a new class of self-organizing coding models for neuroscience. arXiv.org > q-bio > arXiv:0906.1202 [http://redwood.berkeley.edu/fsommer/papers/0906.1202v1.pdf pdf]

Cadieu C, Koepsell K (2008) A Multivariate Phase Distribution and its Estimation. September 2008. [http://arxiv.org/abs/0809.4291v2 arXiv:0809.4291v2] [q-bio.NC]. [http://arxiv.org/pdf/0809.4291v2 pdf]

== Talks and Posters ==

'''2010'''

Koepsell K (2010) Collective computation with neural assemblies -- from connectivity to network dynamics and back. Invited talk, Center for Mind and Brain, UC Davis, CA.

Koepsell K (2010) The role of oscillations for cortical communications. Invited talk, Theory Group, Los Alamos National Lab, Los Alamos, NM.

Rokem A, Trumpis M, Perez F, Ivanov P, Koepsell K, Blanche T, Fegen D, D’Esposito M (2010) Nitime: an open-source package for time-series analysis of neuroscience data. Poster presentation, Human Brain Mapping Annual Meeting, Barcelona, Spain.

Koepsell K (2010) Detecting functional connectivity in networks of phase-coupled neural oscillators. Invited talk, Workshop on Multi-Scale Complex Dynamics in the Brain at CSYNE 2010.

'''2009'''

Cadieu, C., L. Secundo, E. Chang, B.J. Culpepper, N.M. Barbaro, B.A. Olshausen, R.T. Knight. (2009) Sparse Space-Time Decompositions of ECoG signals. Program No. 894.9/HH7. Chicago, IL: Society for Neuroscience, 2009.

Koepsell K (2009) Phase coupling estimation from multivariate phase statistics. Invited talk, ''Smith-Kettlewell Eye Research Institute'', San Francisco, California.

Koepsell K (2009) Phase coupling estimation in coupled oscillator systems. Invited talk, ''Mathematical Biology Seminar'', UC Davis.

Cadieu CF, Koepsell K (2009) A multivariate phase distribution and its estimation. ''Computational and Systems Neuroscience'', Salt Lake City, UT. Frontiers in Systems Neuroscience. Conference Abstract: Computational and systems neuroscience. doi: 10.3389/conf.neuro.06.2009.03.260

Huth A, Cadieu CF, Dale CL, Weber D, Pantazis D, Darvas F, Leahy R, Simpson GV, Koepsell K (2009) Detecting functional connectivity in networks of phase-coupled neural oscillators. ''Computational and Systems Neuroscience'', Salt Lake City, UT. Frontiers in Systems Neuroscience. Conference Abstract: Computational and systems neuroscience. doi: 10.3389/conf.neuro.06.2009.03.258

T.Z. Lauritzen and A. Wade. (2009) Different cortical areas are modulated in different ways by spatial attention in human visual cortex. Optical Society of America, Fall vision meeting. September 24-26, 2009, Seattle, Washington, and Journal of Vision, 9(14):44, 44a. [http://journalofvision.org/9/14/44/ link]

T.Z. Lauritzen and A. Wade. (2009) Spatial attention modulates steady state visually-evoked potentials in human visual cortex by a multiplicative gain function. Annual meeting of the Organization for Human Brain Mapping, San Francisco, CA, June 18-23, 2009.

T.Z. Lauritzen and A. Wade. (2009) Spatial attention modulates steady state VEPs in retinotopic human visual cortex. COSYNE Meeting, Salt Lake City and Snowbird, Utah, February 26 - March 3, 2009.

'''2008'''

Blanche TJ, Koepsell K, Swindale N, Olshausen BA (2008) Predicting response variability in the
primary visual cortex. ''Computational and Systems Neuroscience'', Salt
Lake City, UT.

Canolty RT, Soltani M, Koepsell K, Cadieu C, Dalal SS, Edwards E, Nagarajan SS, Kirsch HE, Barbaro NM and Knight RT (2008). Auditory target detection activates frontal and parietal cortices: Evidence from high gamma power and low-frequency phase coherence in the subdural electrocorticogram. Frontiers in Human Neuroscience. Conference Abstract: 10th International Conference on Cognitive Neuroscience. doi: 10.3389/conf.neuro.09.2009.01.119

Cadieu, C., B. Olshausen. (2008) Learning Transformational Invariants from Time-Varying Natural Images. Computational and Systems Neuroscience (Cosyne), Salt Lake City, March 2008. [http://redwood.berkeley.edu/cadieu/pubs/CadieuOlshausen2008_Cosyne-abstract.pdf abstract] [http://redwood.berkeley.edu/cadieu/pubs/videos/Cadieu_Cosyne08.mov talk]

Koepsell K (2008) Spike timing in the context of network dynamics from retina to cortex.
Conference talk, ''Computational and Systems Neuroscience'', Salt Lake City, UT.

Koepsell K, Blanche TJ, Swindale N, Olshausen BA (2008) Modeling the inﬂuence of local
network activity on neuron spiking responses in primary visual cortex.
''Computational and Systems Neuroscience'', Salt Lake City, UT.

T.Z. Lauritzen, M. D’Esposito, D. Heeger and M.A. Silver. (2008) Functional networks underlying human top-down visual spatial attention. Annual Cognitive Neuroscience Society Meeting. April 12-15, 2008, San Francisco, California.

T.Z. Lauritzen, M. D’Esposito, D. Heeger and M.A. Silver. (2008) Human visual attention networks revealed by fMRI coherency analysis. COSYNE Meeting, Salt Lake City and Snowbird, Utah, February 28 - March 4, 2008.

'''2007'''

Blanche TJ (2007) The influence of cortical dynamics on spike timing precision in cat V1. ''Smith-Kettlewell Eye Research Institute'', San Francisco, California.

Cadieu, C., B. Olshausen. (2007) Learning Invariant and Variant Components of Time Varying Natural Images Using a Sparse, Multiplicative Model. Computational and Systems Neuroscience (Cosyne) Salt Lake City, March 2007, & Vision Sciences Society, Sarasota May 2007. [http://redwood.berkeley.edu/cadieu/pubs/CadieuOlshausen_Cosyne_2007.pdf abstract]

Koepsell K (2007) The hidden clock in LGN -- is phase coding employed in early vision?.
''Göttingen Neurobiology Conference'', Göttingen, Germany

Garrigues PJ, Olshausen BA (2007) Learning Horizontal Connections from the Statistics of Natural Images. ''Computational and Systems Neuroscience'', Salt Lake City, Utah.

Blanche TJ (2007) How active is the cortex? ''COSYNE [http://www.cosyne.org/How_active_is_the_cortex%3F workshop]'', The Canyons, Utah.

Blanche TJ, Koepsell K (2007) Spike timing precision and the influence of cortical dynamics. ''Grand Challenges in Neural Computation'', Santa Fe, New Mexico.

T.Z. Lauritzen, M. D’Esposito, D. Heeger and M.A. Silver. (2007) Functional networks underlying top-down visual spatial attention in the human brain. Society for neuroscience annual meeting, 2007, abstract 423.9.

Lauritzen TZ, Shenhav, Silver MA (2007) fMRI coherency analysis reveals feedforward progression of visual responses in human early visual cortex ''OSA fall vision meeting'', Berkeley, CA.

Lauritzen TZ (2007) Functional networks underlying top-down visual spatial attention in the human brain ''IMM, Danish Technical University, Lyngby, Denmark''.

Lauritzen TZ (2007) Neural mechanisms of sustained visual spatial attention ''ENS, Paris, France''.

'''2006'''

Blanche TJ, Freiwald WA, Swindale NV (2006) Neural sparseness in cat and monkey visual cortex studied with silicon polytrode arrays. ''Society for Neuroscience''.

Koepsell K, Wang X, Wei Y, Wang Q, Vaingankar V, Hirsch JA, Sommer FT (2006)
Retinal oscillations carry visual information to cortex. ''Computational and Systems Neuroscience'', Salt Lake City, Utah.

Koepsell K, Wang X, Wei Y, Wang Q, Vaingankar V, Hirsch JA, Sommer FT (2006)
Two channels for visual information to travel from thalamus to cortex. ''Society for Neuroscience''.

Lauritzen TZ (2006) Attention modulation mediated through correlations in the local field potential ''Annual cognitive neuroscience soc meeting'', San Francisco, CA.

'''2005'''

Koepsell K, Wang X, Wei Y, Wang Q, Vaingankar V, Hirsch JA, Sommer FT (2005)
Ongoing retinal activity explains variability of thalamic responses. ''Society for Neuroscience''.

Lauritzen TZ (2005) Correlations in the local field potential yield non-linear neural response changes ''Society for Neuroscience'', Abstract 274.25.

Lauritzen TZ (2005) Contribution of physiological noise to dendritic non-linearities ''COSYNE'', Salt Lake City, Utah.

== Redwood Neuroscience Institute ==

An incomplete list of publications from the Redwood Neuroscience Institute (2002-2005) is available [http://www.rni.org/pubs.html here] (will be updated soon).

Pentti Kanerva

2009-12-04T23:41:17Z

Pkanerva:

Pentti Kanerva
Visiting Scholar
Redwood Center for Theoretical Neuroscience

E-mail:
pkanerva . . . hopefully
@csli.stanford . . . this will
.edu . . . discourage spam

SELECTED PUBLICATIONS (to be updated)
http://www.rni.org/kanerva/pubs.html

RESEARCH STATEMENT

The organization of the brain in large circuits of neurons is
compelling. To a computer engineer it means but one thing: the
circuits are there to accomplish computation. My research is aimed
at understanding the nature of this computation and eventually
finding out how our brains make us what we are.

Present-day computers are a pale model of the brain's computing.
Sensory input to the brain and the brain's circuits are far more
complex than those of computers, the architecture is not specified
in minute detail as it is in computers, and the components are
unreliable. The most remarkable differences, however, are in the
behaviors that brains and computers produce. These conspicuous
differences reflect fundamental differences in the internal form of
information and operations on it, which is what we need to understand.

Brains are a product of evolution and should be studied in that context.
They help individuals and species to survive and prosper in the world,
meaning that they produce beneficial action. They do it by predicting
events in the world, including consequences of their own actions.
The brain's computing is designed for interaction.

In their own way brains learn to model their interaction with the
world. They convert and integrate sensory signals and motor
commands into common internal form, a kind of "universal code,"
and employ learning mechanisms that are shared by different
sensory modalities. My research is concerned with this encoding
and integration of information into a predictive model of the world:
What are the neural algorithms of memory and learning and how do
they capture statistical and logical regularities in the signal available
to the brain? How do brains find meaning it what they sense?

I use random distributed representation in spaces with thousands of
dimensions---i.e., population coding and computing with large, seemingly
random patterns---to model the brain's code and computing. Reasons
for this are several. The brain's circuits are large with no individual
neuron being critical to their operation (neurons can die), even the
simplest mental events involve the activity of thousands of neurons,
distributed representation is lifelike and tolerant of component failure,
and randomizing leads to general algorithms that do not depend on
precise architecture. The simplest models of neural circuits are based
on high-dimensional vectors---that is, on points of a high-dimensional
space, or large patterns, with the dimensionality in the thousands.

Although not immediately obvious, spaces with thousands of
dimensions have rich and subtle mathematical properties on which
to base computation. For example, high-dimensional representation
makes a system tolerant of "errors"---it makes it possible for us to
recognize people and objects even when conditions vary. For another
example, the human mind works by analogy. The mapping of points in
a high-dimensional space could be its underlying mechanism, where the
mapping functions themselves are represented by points of the same
space. Although dimensionality in the range of 10--100 may well be
a curse (referred to as "the curse of dimensionality"), when it's in the
thousands it is truly a blessing.

PROFESSIONAL ACTIVITIES
Member
European Academy of Sciences
Cognitive Science Society
International Neural Network Society
Visiting Scholar
Tampere University of Technology, 1990.
CSLI, Stanford University, 1994--
Co-chair, AAAI Symposium on Acquiring and Using Linguistic
and World Knowledge for Information Access, March 2002.
Publications: One book, two book chapters, and 25 papers on
distributed representation and memory.

BACKGROUND
Education
Ph.D. Philosophy, Stanford University, 1984.
M.S. Forestry, minor in mathematics and statistics,
University of Helsinki, 1964.
A.A. Warren Wilson College, North Carolina, 1956.
Employment
2008-- Visiting Scholar, University of California, Berkeley.
2003--06 Research Affiliate, Redwood Neuroscience Institute.
2002--03 Senior Researcher, Redwood Neuroscience Institute.
1993--2002 Senior Researcher, Swedish Institute of Computer
Science (SICS).
1985--92 Senior Scientist, Research Institute for Advanced
Computer Science (RIACS), NASA Ames Research Center.
1984--85 Postdoctoral Fellow, Center for the Study of Language
and Information (CSLI), Stanford University.
1979--83 Computer Systems Specialist, Center for Information
Technology, Stanford University.
1967--78 Systems Programmer (1967--68, 1977--78) and Research
Assistant (1968--77), Institute for Mathematical Studies
in the Social Sciences (IMSSS), Stanford University.
1965--67 Chief of Computer Center, University of Tampere, Finland.
1963--65 Programmer--Analyst and Section Leader, Finnish State
Computer Center.
1961--63 Statistician, part-time, Forest Research Institute of
Finland.

Publications

2009-12-04T23:20:00Z

Pkanerva:

__NOEDITSECTION__
== Journal Papers ==

'''2010'''

Knoblauch A, Palm G, Sommer FT (2010) Memory capacities for synaptic and structural plasticity. Neural Computation, Volume 22, Issue 2, pp. 289-341 (2010) [http://redwood.berkeley.edu/fsommer/papers/knoblauchpalmsommer10.pdf pdf]

'''2009'''


Kanerva P (2009) Hyperdimensional Computing: An Introduction to Computing in Distributed Representation with High-Dimensional Random Vectors. Cognitive Computation 1: 139-159 [http://www.springerlink.com/content/966151841g415165/ link]

Koepsell K, Wang X, Vaingankar V, Wei Y, Wang Q, Rathbun DL, Usrey W, Hirsch J and Sommer FT (2009)
Retinal oscillations carry visual information to cortex. Front Syst Neurosci 3:4 [http://dx.doi.org/10.3389/neuro.06.004.2009 pdf]

Koepsell K, Wang X, Hirsch JA, Sommer FT (2009) Exploring the function of neural oscillations in early sensory systems. Focused review in Frontiers in Neuroscience, in press

Ming, V. & Holt, L. (2009) Efficient coding in human auditory perception. J. Acoust. Soc. Am. 126.

Monaci G, Vandergheynst P, Sommer FT (2009) Learning bimodal structure in audio-visual data. IEEE Transactions on Neural Networks, in the press [http://redwood.berkeley.edu/fsommer/papers/Monaci_etal_IEEE_NN09.pdf pdf]

Para LC, Beck JM, Bell AJ (2009) On the maximization of information flow between spiking neurons. Neural Computation, in press

'''2008'''

Koepsell K, Sommer FT (2008) Information transmission in oscillatory neural activity.
Biological Cybernetics 99:403–416 [http://dx.doi.org/10.1007/s00422-008-0273-6 abstract] [http://redwood.berkeley.edu/fsommer/papers/koepsellsommer08bicy.pdf pdf]

Rozell CJ, Johnson DH, Baraniuk RG, Olshausen BA (2008) Sparse Coding via Thresholding and Local Competition in Neural Circuits. Neural Computation, 20:2526-2563 [http://redwood.berkeley.edu/bruno/papers/garrigues_olshausen_nips2007.pdf pdf]

Teeters JL, Harris KD, Millman KJ, Olshausen BA, Sommer FT (2008) Data sharing for computational neuroscience. Neuroinformatics 6:47-55 [http://redwood.berkeley.edu/fsommer/papers/teetersetal08.pdf pdf]

'''2007'''

Rehn M, Sommer FT (2007) A network that uses few active neurones to code visual input predicts the diverse shapes of cortical receptive fields. J. Comp. Neurosci. 22 (2): 135-146. [http://redwood.berkeley.edu/fsommer/papers/rehnsommer07jcns.pdf pdf]

Sommer FT (2007) Bunte Theorien für graue Zellen. [http://www.gehirn-und-geist.de/artikel/872207 Gehirn und Geist], Juni 70-76

Wang X, Wei Y, Vaingankar V, Wang Q, Koepsell K, Sommer FT, Hirsch JA (2007) Feedforward excitation and inhibition evoke dual modes of firing in the cat’s visual thalamus during naturalistic viewing. Neuron 55 (2007) 465-478. [http://redwood.berkeley.edu/fsommer/papers/wangetal07neuron.pdf pdf]
See also the preview about this paper: P. Reinagel: The inner life of bursts. Neuron 55: 339-341

'''2006'''

Bethge M (2006) Factorial coding of natural images: how effective are
linear models in removing higher-order dependencies?
''J. Opt. Soc. Am.'' A, 23(6): 1253-1268.

Rehn M, Sommer FT (2006) Storing and restoring visual input with collaborative rank coding and associative memory.
''Neurocomputing'' 69 (10-12) 1219-1223 [http://redwood.berkeley.edu/~fsommer/papers/rehnsommer06neurocomp.pdf pdf]

Sommer FT, Kanerva P (2006) Can neural models of cognition benefit from the advantages of connectionism?
''Behavoral and Brain Sciences'' 29 (1) 86-87 [http://redwood.berkeley.edu/~fsommer/papers/sommerkanerva05.pdf pdf]

'''2005'''

George D, Sommer FT (2005) Computing with inter-spike inverval codes
in networks of integrate and fire neurons. ''Neurocomputing'' 65-66, 414 -
420. [http://redwood.berkeley.edu/~fsommer/papers/georgesommer05.pdf pdf]

Johnson JS, Olshausen BA (2005) The recognition of partially visible
natural objects in the presence and absence of their occluders.
''Vision Research'', 45, 3262-3276. [http://redwood.berkeley.edu/bruno/papers/VR05-occlusion.pdf pdf]

Johnson JS, Olshausen BA (2005) The earliest EEG signatures of object
recognition in a cued-target task are postsensory. ''Journal of Vision'',
5, 299-312. [http://journalofvision.org/5/4/2/ link]

Martinez LM, Wang Q, Reid RC, Pillai C, Alonso J-M, Sommer FT,
Hirsch JA (2005) Receptive field structure varies with layer in the
primary visual cortex. ''Nature Neuroscience'' 8 , 372 - 379
[http://redwood.berkeley.edu/~fsommer/papers/martinezetal05.pdf pdf]

Olshausen BA, Field DJ (2005) How close are we to understanding V1?
''Neural Computation'', 17, 1665-1699. [http://redwood.berkeley.edu/bruno/papers/V1-article.pdf pdf]

Sommer FT, Wennekers T (2005) Synfire chains with conductance-based
neurons: internal timing and coordination with timed
input. ''Neurocomputing'' 65-66, 449 - 454.
[http://redwood.berkeley.edu/~fsommer/papers/sommerwennekers05.pdf pdf]

== Refereed Conference Proceedings ==

'''2009'''

Cadieu C.F., Olshausen B.A., (2009) Learning Transformational Invariants from Natural Movies, ''Advances in Neural Information Processing Systems 21'', D. Koller and D. Schuurmans and Y. Bengio and L. Bottou, MIT Press, Cambridge, MA. [http://books.nips.cc/papers/files/nips21/NIPS2008_0200.pdf pdf]

'''2008'''

Garrigues P.J., El Ghaoui L., An Homotopy Algorithm for the Lasso with Online Observations, to appear in Advances in Neural Information Processing Systems 21 (NIPS 2008). [http://www.eecs.berkeley.edu/~garrigue/nips08_reclasso.pdf pdf]

Monaci G., Sommer F. T. and Vandergheynst P., Learning Sparse Generative Models of Audiovisual Signals, Proc. of European Conf. on Signal Processing (EUSIPCO08), 2008 [http://redwood.berkeley.edu/w/images/3/37/Eusipco08.pdf pdf]

'''2007'''

Garrigues P.J. Olshausen B.A. (2007) Learning Horizontal Connections in a Sparse Coding Model of Natural Images. To appear in Advances in Neural Information Processing Systems 20 (NIPS 2007) [http://www.eecs.berkeley.edu/~garrigue/nips07_horizontalconnections.pdf pdf]

'''2005'''

Bell A.J., Parra L.C. (2005) Maximising Sensitivity in a Spiking Network, ''Advances in Neural Information Processing Systems 17'', Saul L.K. and Weiss Y. and Bottou L., MIT Press, Cambridge, MA
[http://newton.bme.columbia.edu/~lparra/publish/nips04-BellParra.pdf pdf]

== Technical Reports ==

Cadieu CF, Koepsell K (2009) A multivariate phase distribution and its estimation. [http://arxiv.org/abs/0809.4291 abstract] [http://arxiv.org/pdf/0809.4291 pdf]

W. K. Coulter, C. J. Hillar, F. T. Sommer (2009) Adaptive compressed sensing - a new class of self-organizing coding models for neuroscience. arXiv.org > q-bio > arXiv:0906.1202 [http://redwood.berkeley.edu/fsommer/papers/0906.1202v1.pdf pdf]

== Talks and Posters ==

Koepsell K (2009) Phase coupling estimation from multivariate phase statistics. Seminar talk, ''Smith-Kettlewell Eye Research Institute'', San Francisco, California.

Koepsell K (2009) Phase coupling estimation in coupled oscillator systems. Seminar talk, ''Mathematical Biology Seminar'', UC Davis.

Charles CF, Koepsell K (2009) A multivariate phase distribution and its estimation. ''Computational and Systems Neuroscience'', Salt Lake City, UT.

Huth A, Cadieu CF, Dale CL, Weber D, Pantazis D, Darvas F, Leahy R, Simpson GV, Koepsell K (2009) Detecting functional connectivity in networks of phase-coupled neural oscillators. ''Computational and Systems Neuroscience'', Salt Lake City, UT.

Koepsell K (2008) Spike timing in the context of network dynamics from retina to cortex.
Conference talk, ''Computational and Systems Neuroscience'', Salt Lake City, UT.

Koepsell K, Blanche TJ, Swindale N, Olshausen BA (2008) Modeling the inﬂuence of local
network activity on neuron spiking responses in primary visual cortex.
''Computational and Systems Neuroscience'', Salt Lake City, UT.

Blanche TJ, Koepsell K, Swindale N, Olshausen BA (2008) Predicting response variability in the
primary visual cortex. ''Computational and Systems Neuroscience'', Salt
Lake City, UT.

Blanche TJ (2007) The influence of cortical dynamics on spike timing precision in cat V1. ''Smith-Kettlewell Eye Research Institute'', San Francisco, California.

Koepsell K (2007) The hidden clock in LGN -- is phase coding employed in early vision?.
''Göttingen Neurobiology Conference'', Göttingen, Germany

Garrigues PJ, Olshausen BA (2007) Learning Horizontal Connections from the Statistics of Natural Images. ''Computational and Systems Neuroscience'', Salt Lake City, Utah.

Koepsell K, Wang X, Wei Y, Wang Q, Vaingankar V, Hirsch JA, Sommer FT (2006)
Retinal oscillations carry visual information to cortex. ''Computational and Systems Neuroscience'', Salt Lake City, Utah.

Blanche TJ (2007) How active is the cortex? ''COSYNE [http://www.cosyne.org/How_active_is_the_cortex%3F workshop]'', The Canyons, Utah.

Blanche TJ, Koepsell K (2007) Spike timing precision and the influence of cortical dynamics. ''Grand Challenges in Neural Computation'', Santa Fe, New Mexico.

Blanche TJ, Freiwald WA, Swindale NV (2006) Neural sparseness in cat and monkey visual cortex studied with silicon polytrode arrays. ''Society for Neuroscience''.

Koepsell K, Wang X, Wei Y, Wang Q, Vaingankar V, Hirsch JA, Sommer FT (2006)
Two channels for visual information to travel from thalamus to cortex. ''Society for Neuroscience''.

Koepsell K, Wang X, Wei Y, Wang Q, Vaingankar V, Hirsch JA, Sommer FT (2005)
Ongoing retinal activity explains variability of thalamic responses. ''Society for Neuroscience''.

Lauritzen TZ, Shenhav, Silver MA (2007) fMRI coherency analysis reveals feedforward progression of visual responses in human early visual cortex ''OSA fall vision meeting'', Berkeley, CA.

Lauritzen TZ (2007) Functional networks underlying top-down visual spatial attention in the human brain ''IMM, Danish Technical University, Lyngby, Denmark''.

Lauritzen TZ (2007) Neural mechanisms of sustained visual spatial attention ''ENS, Paris, France''.

Lauritzen TZ (2006) Attention modulation mediated through correlations in the local field potential ''Annual cognitive neuroscience soc meeting'', San Francisco, CA.

Lauritzen TZ (2005) Correlations in the local field potential yield non-linear neural response changes ''Society for Neuroscience'', Abstract 274.25.

Lauritzen TZ (2005) Contribution of physiological noise to dendritic non-linearities ''COSYNE'', Salt Lake City, Utah.

== Redwood Neuroscience Institute ==

An incomplete list of publications from the Redwood Neuroscience Institute (2002-2005) is available [http://www.rni.org/pubs.html here] (will be updated soon).