Michael DeWeese: Difference between revisions

From RedwoodCenter
Jump to navigationJump to search
No edit summary
No edit summary
Line 2: Line 2:


'''Selected manuscripts in preparation:'''
'''Selected manuscripts in preparation:'''
*l. J. Sohl-Dickstein, M. Mudigonda, M.R. DeWeese.  [https://redwood.berkeley.edu/w/images/2/2b/SohlDickstein_Mudigonda_DeWeese_Sampling_Without_Detailed_Ballance_preprint.pdf Hamiltonian Monte Carlo Without Detailed Balance.] (in preparation; this is an elaboration of [32])


*k. V. Carels and M.R. DeWeese. A comparison of multi- and single-unit spectrotemporal receptive fields in the primary auditory cortex. (in preparation)
*k. V. Carels and M.R. DeWeese. A comparison of multi- and single-unit spectrotemporal receptive fields in the primary auditory cortex. (in preparation)
Line 17: Line 16:


*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.  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. J. Sohl-Dickstein, M. Mudigonda, M.R. DeWeese.  [https://redwood.berkeley.edu/w/images/2/2b/SohlDickstein_Mudigonda_DeWeese_Sampling_Without_Detailed_Ballance_preprint.pdf Hamiltonian Monte Carlo Without Detailed Balance.] (in preparation; this is an elaboration of [32])


'''Submitted manuscripts:'''  
'''Submitted manuscripts:'''  


*d. P.R. Zulkowski and M.R. DeWeese. [https://redwood.berkeley.edu/w/images/b/b3/Zulkowski_DeWeese_optimal_erasure_1_bit_preprint.pdf Optimal finite-time erasure of a classical bit.] (submitted)
*c. P.R. Zulkowski and M.R. DeWeese. [https://redwood.berkeley.edu/w/images/b/b3/Zulkowski_DeWeese_optimal_erasure_1_bit_preprint.pdf Optimal finite-time erasure of a classical bit.] (submitted)   
 
*c. C. Rodgers and M.R. DeWeese.  [https://redwood.berkeley.edu/w/images/c/c6/Rodgers_%26_DeWeese_Rodent_Paradigm_for_Stim_Selection_Anticipitory_Effects_PFC_%26_A1_3rd_round_Neuron_preprint.pdf Neural correlates of task switching in prefrontal cortex and primary auditory cortex in a novel stimulus selection task for rodents.] (submitted).  


*b.  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).
*b.  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).
Line 29: Line 28:


'''All publications:'''
'''All publications:'''
*33. C. Rodgers and M.R. DeWeese.  [https://redwood.berkeley.edu/w/images/c/c6/Rodgers_%26_DeWeese_Rodent_Paradigm_for_Stim_Selection_Anticipitory_Effects_PFC_%26_A1_3rd_round_Neuron_preprint.pdf Neural correlates of task switching in prefrontal cortex and primary auditory cortex in a novel stimulus selection task for rodents.] Neuron. (in press) (2014). 


*32. J. Sohl-Dickstein, M. Mudigonda, M.R. DeWeese.  [https://redwood.berkeley.edu/w/images/2/2b/SohlDickstein_Mudigonda_DeWeese_Sampling_Without_Detailed_Ballance_preprint.pdf Hamiltonian Monte Carlo Without Detailed Balance.] Proceedings of the 31st International Conference on Machine Learning (Beijing) (2014).
*32. J. Sohl-Dickstein, M. Mudigonda, M.R. DeWeese.  [https://redwood.berkeley.edu/w/images/2/2b/SohlDickstein_Mudigonda_DeWeese_Sampling_Without_Detailed_Ballance_preprint.pdf Hamiltonian Monte Carlo Without Detailed Balance.] Proceedings of the 31st International Conference on Machine Learning (Beijing) (2014).

Revision as of 05:46, 13 March 2014

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. V. Carels and M.R. DeWeese. A comparison of multi- and single-unit spectrotemporal receptive fields in the primary auditory cortex. (in preparation)
  • j. P.R. Zulkowski and M.R. DeWeese. Optimal entropy production. (in preparation)
  • h. 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)
  • 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).