Michael DeWeese: Difference between revisions

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*4.    M. DeWeese.  [https://redwood.berkeley.edu/w/images/1/14/DeWeese_NIPS_1996.pdf Optimization principles for the neural code.]  In Advances in Neural Information Processing Systems.  MIT Press, Cambridge, MA, Vol. 8, p. 281 (1996).
*4.    M. DeWeese.  [https://redwood.berkeley.edu/w/images/1/14/DeWeese_NIPS_1996.pdf Optimization principles for the neural code.]  In Advances in Neural Information Processing Systems.  MIT Press, Cambridge, MA, Vol. 8, p. 281 (1996).


*3.    W. Bialek and M. DeWeese.  Random switching and optimal processing in the perception of ambiguous signals.  Phys. Rev. Lett. 74, 3077-3080 (1995).
*3.    W. Bialek and M. DeWeese.  [https://redwood.berkeley.edu/w/images/5/5a/Bialek_DeWeese_Random_Switching_Optimal_PRL_1995.pdf Random switching and optimal processing in the perception of ambiguous signals.] Phys. Rev. Lett. 74, 3077-3080 (1995).


*2.    M. DeWeese and W. Bialek.  Information flow in sensory neurons.  Nuovo Cimento A17, 733 (1995).
*2.    M. DeWeese and W. Bialek.  Information flow in sensory neurons.  Nuovo Cimento A17, 733 (1995).


*1.    W. Bialek, M. DeWeese, F. Rieke, and D. Warland.  Bits and brains:  information flow in the nervous system.  Physica A 200, 581-593 (1993).
*1.    W. Bialek, M. DeWeese, F. Rieke, and D. Warland.  Bits and brains:  information flow in the nervous system.  Physica A 200, 581-593 (1993).

Revision as of 07:02, 12 January 2013

Here is my short CV and below is my publication list including some preprints. Most papers are available here as PDFs.

Selected manuscripts in preparation:

  • ix. M. Mudigonda, J. Sohl-Dickstein, and M.R. DeWeese. Faster sampling from probabilistic models by reduced flipping in Hamiltonian Markov chain Monte Carlo sampling. (in preparation)
  • viii. N. Carlson, V.L. Ming, and M.R. DeWeese. Probe stimuli affect receptive field estimation of model auditory neurons optimized to represent speech efficiently. (in preparation)
  • vii. S. Marzen, J. Zylberberg, and M.R. DeWeese. The effect of natural scene statistics and oculomotor strategy on binocular disparity and ocular dominance maps. (in preparation)
  • vi. S. Corinaldi and M.R. DeWeese. A network model of task switching optimized to minimize errors predicts several counterintuitive features of human behavioral data. (in preparation).
  • v. C. Rodgers, M. Dastjerdi, and M.R. DeWeese. Task-dependent anticipatory activity in both prefrontal cortex and auditory cortex during a purely auditory selective attention task. (in preparation).

Submitted manuscripts:

  • iv. T. Hromádka, A.M. Zador, and M.R. DeWeese. Up-states are rare in awake auditory cortex. (submitted).

All publications:

  • 28. P. King, J. Zylberberg, and M.R. DeWeese. Inhibitory interneurons decorrelate excitatory cells to drive sparse code formation in a spiking model of V1. Journal of Neuroscience (in press).
  • 23. J. Sohl-Dickstein, P. Battaglino, and M.R. DeWeese. Minimum Probability Flow Learning. Proceedings of the 28th International Conference on Machine Learning (Bellevue, WA) (2011).
  • 11. M.R. DeWeese and A.M. Zador. Binary coding in auditory cortex. In Advances in Neural Information Processing Systems. MIT Press, Cambridge, MA, Vol. 15, 101 (2003).
  • 9. M.R. DeWeese. An optimal preparation for studying optimization. Neuron 26, 546-548 (2000).
  • 8. M.R. DeWeese and M. Meister. How to measure the information gained from one symbol. Network 10, 325-340 (1999).
  • 7. G. Buracas, A.M. Zador, M.R. DeWeese, and T. Albright. Efficient discrimination of temporal patterns by motion-sensitive neurons in primate visual cortex. Neuron 20, 959-969 (1998).
  • 5. M.R. DeWeese. Optimization principles for the neural code. Network 7, 325-331 (1996).
  • 2. M. DeWeese and W. Bialek. Information flow in sensory neurons. Nuovo Cimento A17, 733 (1995).
  • 1. W. Bialek, M. DeWeese, F. Rieke, and D. Warland. Bits and brains: information flow in the nervous system. Physica A 200, 581-593 (1993).