Michael DeWeese: Difference between revisions

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*k. J. Sohl-Dickstein, S. Teng, C. Rodgers, M.R. DeWeese, and N. Harper.
*k. J. Sohl-Dickstein, S. Teng, C. Rodgers, M.R. DeWeese, and N. Harper.
[  A device for human ultrasonic echolocation.] (in preparation)
[https://redwood.berkeley.edu/w/images/f/f7/SohlDickstein_et_al_echolocation_for_the_blind_icme_preprint.pdf A device for human ultrasonic echolocation.] (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)  
*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)  

Revision as of 19:50, 18 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:

  • k. J. Sohl-Dickstein, S. Teng, C. Rodgers, M.R. DeWeese, and N. Harper.

A device for human ultrasonic echolocation. (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).