Michael DeWeese: Difference between revisions

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'''All publications:'''
'''All publications:'''


*30.  J. Zylberberg and M.R. DeWeese.  [https://redwood.berkeley.edu/w/images/f/f1/Zylberberg_DeWeese_decreasing_sparseness_V1_development_PLoS_CB_2013.pdf Sparse coding models can exhibit decreasing sparseness while learning sparse codes for natural images.] Public Library of Science Computational Biology. 9(8):e1003182 (2013).
*30.  J. Zylberberg and M.R. DeWeese.  [https://redwood.berkeley.edu/w/images/6/62/Zylberberg_DeWeese_Decreasing_Sparseness_During_Development_PLoS_CB_2013_reprint.pdf Sparse coding models can exhibit decreasing sparseness while learning sparse codes for natural images.] Public Library of Science Computational Biology. 9(8):e1003182 (2013).


*29.  T. Hromádka, A.M. Zador, and M.R. DeWeese.  [https://redwood.berkeley.edu/w/images/3/32/Hromadka_Zador_DeWeese_Up_states_are_rare_in_A1_J_Neurophysiol_2013.pdf Up-states are rare in awake auditory cortex.] Journal of Neurophysiology. 109(8):1989-95. (2013).
*29.  T. Hromádka, A.M. Zador, and M.R. DeWeese.  [https://redwood.berkeley.edu/w/images/3/32/Hromadka_Zador_DeWeese_Up_states_are_rare_in_A1_J_Neurophysiol_2013.pdf Up-states are rare in awake auditory cortex.] Journal of Neurophysiology. 109(8):1989-95. (2013).

Revision as of 18:29, 4 September 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:

  • i. M. Leonard and M.R. DeWeese. A subpopulation of neurons in prefrontal cortex encode recent actions in a working memory task but only during uncued trials. (in preparation)
  • h. M. Mudigonda, J. Sohl-Dickstein, M.R. DeWeese, S. Ganguli, and B. Olshausen. Reduced Flipping in Hamiltonian Markov Chain Monte Carlo algorithms. (in preparation)
  • g. 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)
  • e. 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).

Submitted manuscripts:

All publications:

  • 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).
  • 5. M.R. DeWeese. Optimization principles for the neural code. Network 7, 325-331 (1996).