Michael DeWeese: Difference between revisions

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*j. 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)  
*j. 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)  


*i. P.R. Zulkowski, D.A. Sivak, and M.R. DeWeese. [https://redwood.berkeley.edu/w/images/0/0d/Zulkowski_Sivak_DeWeese_Optimal_Control_Y_value_preprint.pdf Optimal control of transitions between nonequilibrium steady states.] (in preparation)
*i. P.R. Zulkowski, D.A. Sivak, and M.R. DeWeese. [http://redwood.berkeley.edu/w/images/5/5b/Zulkowski_Sivak_DeWeese_Optimal_Control_Y_value_030713_preprint.pdf Optimal control of transitions between nonequilibrium steady states.] (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)
*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)

Revision as of 16:50, 7 March 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:

  • j. 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).
  • d. C. Rodgers 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:

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).