Michael DeWeese: Difference between revisions

From RedwoodCenter
Jump to navigationJump to search
No edit summary
No edit summary
Line 7: Line 7:
*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/5/5b/Zulkowski_Sivak_DeWeese_Optimal_Control_Y_value_030713_preprint.pdf Optimal control of transitions between nonequilibrium steady states.] (in preparation)
*i. 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. OlshausenReduced Flipping in Hamiltonian Markov Chain Monte Carlo algorithms. (in preparation)
*h. 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)


*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)
*g. S. Marzen, J. Zylberberg, and M.R. DeWeese.  [https://redwood.berkeley.edu/w/images/c/ca/Marzen_Zylberberg_DeWeese_BinocularDisparity_R7a_1-28-2013-2_preprint.pdf The effect of natural scene statistics and oculomotor strategy on binocular disparity and ocular dominance maps.] (in preparation)


*f. S. Marzen, J. Zylberberg, and M.R. DeWeese.  [https://redwood.berkeley.edu/w/images/c/ca/Marzen_Zylberberg_DeWeese_BinocularDisparity_R7a_1-28-2013-2_preprint.pdf The effect of natural scene statistics and oculomotor strategy on binocular disparity and ocular dominance maps.] (in preparation)
*f. 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).


*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).
*e. 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).


*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:''' 


'''Submitted manuscripts:''' 
*d. P.R. Zulkowski, D.A. Sivak, and M.R. DeWeese. [https://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.] (submitted)


*c.  B. Albanna, C. Hillar, J. Sohl-Dickstein, and M.R. DeWeese.  [https://redwood.berkeley.edu/w/images/8/8a/Albanna_Hillar_SohlDickstein_DeWeese_min_entropy_preprint.pdf Minimum and maximum entropy solutions for binary systems with known means and pairwise correlations.] (submitted).
*c.  B. Albanna, C. Hillar, J. Sohl-Dickstein, and M.R. DeWeese.  [https://redwood.berkeley.edu/w/images/8/8a/Albanna_Hillar_SohlDickstein_DeWeese_min_entropy_preprint.pdf Minimum and maximum entropy solutions for binary systems with known means and pairwise correlations.] (submitted).

Revision as of 07:16, 27 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)
  • i. 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. 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)
  • f. 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).
  • e. 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).