Michael R. DeWeese, Ph.D.

Helen Wills Neuroscience Institute & Dept. of Physics University of California, Berkeley, Berkeley, CA 
Auditory Cortex
"Michael DeWeese"
Mean distance: 12.99 (cluster 17)
Cross-listing: Physics Tree - CSD Tree


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Andrew Brian Berger research assistant Redwood Center for Theoretical Neuroscience, UC Berkeley
Carol Q. Pham research assistant 2008-2010 San Diego IP Law Group
James Arnemann grad student New York Presbyterian
Vanessa Carels grad student Public Library of Science
Nicholas Cinko grad student UC Berkeley
Sharif Corinaldi grad student Stripe
Eric Dodds grad student Yahoo Research
Michael Fang grad student UC Berkeley
Michael Y.-S. Fang grad student UC Berkeley (Physics Tree)
Adam Frim grad student UC Berkeley
Charles Frye grad student UC Berkeley
Steven Lee grad student UC Berkeley
Andrew Ligeralde grad student UC Berkeley
Jesse Livezey grad student LBNL
Tyler Maltba grad student UC Berkeley
Sarah Marzen grad student Claremont Colleges (Keck Science)
Pooneh Mohammadiara grad student Drishti
Mayur Mudigonda grad student LBNL
Melissa Newton grad student UC Berkeley
Pratik Sachdeva grad student UC Berkeley
Chayut Thanapirom grad student UC Berkeley
Joseph Thurakal grad student Financial Advisor
Neha Wadia grad student UC Berkeley
Ryan Zarcone grad student UC Berkeley
Nicole Carlson grad student 2012 Chicago
Jascha Sohl-Dickstein grad student 2012 Google Brain
Joel Zylberberg grad student 2012 York University
Badr F. Albanna grad student 2013 Fordham University
Christopher Rodgers grad student 2013 Columbia U
Peter Battaglino grad student 2014 Google
Mat Leonard grad student 2014 Udacity
Patrick Zulkowski grad student 2014 Berkeley City College
Alfonso junior Apicella post-doc UT San Antonio
Ji Hyun Bak post-doc UC Berkeley
Mohammad Dastjerdi post-doc Stanford University Medical School
Louis Kang post-doc UC Berkeley
Dibyendu Mandal post-doc AutoGrid (Chemistry Tree)
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Frim AG, DeWeese MR. (2022) Geometric Bound on the Efficiency of Irreversible Thermodynamic Cycles. Physical Review Letters. 128: 230601
Frim AG, DeWeese MR. (2022) Optimal finite-time Brownian Carnot engine. Physical Review. E. 105: L052103
Wadia NS, Zarcone RV, DeWeese MR. (2022) Solution to the Fokker-Planck equation for slowly driven Brownian motion: Emergent geometry and a formula for the corresponding thermodynamic metric. Physical Review. E. 105: 034130
Frye CG, Simon J, Wadia NS, et al. (2021) Critical Point-Finding Methods Reveal Gradient-Flat Regions of Deep Network Losses. Neural Computation. 33: 1469-1497
Frim AG, Zhong A, Chen SF, et al. (2021) Engineered swift equilibration for arbitrary geometries. Physical Review. E. 103: L030102
Sachdeva PS, Livezey JA, DeWeese MR. (2020) Heterogeneous Synaptic Weighting Improves Neural Coding in the Presence of Common Noise. Neural Computation. 1-38
Kang L, DeWeese MR. (2019) Replay as wavefronts and theta sequences as bump oscillations in a grid cell attractor network. Elife. 8
Dodds EM, DeWeese MR. (2019) On the Sparse Structure of Natural Sounds and Natural Images: Similarities, Differences, and Implications for Neural Coding. Frontiers in Computational Neuroscience. 13: 39
Fang MY, Manipatruni S, Wierzynski C, et al. (2019) Design of optical neural networks with component imprecisions. Optics Express. 27: 14009-14029
Insanally MN, Carcea I, Field RE, et al. (2019) Spike-timing-dependent ensemble encoding by non-classically responsive cortical neurons. Elife. 8
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