Artikel dengan mandat akses publik - Michael R DeWeesePelajari lebih lanjut
Tersedia di suatu tempat: 33
Entropy production and fluctuation theorems for active matter
D Mandal, K Klymko, MR DeWeese
Physical review letters 119 (25), 258001, 2017
Mandat: US National Science Foundation, US Department of Defense
Design of optical neural networks with component imprecisions
MYS Fang, S Manipatruni, C Wierzynski, A Khosrowshahi, MR DeWeese
Optics express 27 (10), 14009-14029, 2019
Mandat: US Department of Defense
Inhibitory interneurons decorrelate excitatory cells to drive sparse code formation in a spiking model of V1
PD King, J Zylberberg, MR DeWeese
Journal of Neuroscience 33 (13), 5475-5485, 2013
Mandat: Howard Hughes Medical Institute
Millisecond-scale differences in neural activity in auditory cortex can drive decisions
Y Yang, M DeWeese, G Otazu, A Zador
Nature Precedings, 1-1, 2008
Mandat: US National Institutes of Health
A device for human ultrasonic echolocation
J Sohl-Dickstein, S Teng, BM Gaub, CC Rodgers, C Li, MR DeWeese, ...
IEEE Transactions on Biomedical Engineering 62 (6), 1526-1534, 2015
Mandat: UK Biotechnology and Biological Sciences Research Council, Wellcome Trust
Spike-timing-dependent ensemble encoding by non-classically responsive cortical neurons
MN Insanally, I Carcea, RE Field, CC Rodgers, B DePasquale, K Rajan, ...
Elife 8, e42409, 2019
Mandat: US National Institutes of Health, Howard Hughes Medical Institute
Geometric bound on the efficiency of irreversible thermodynamic cycles
AG Frim, MR DeWeese
Physical Review Letters 128 (23), 230601, 2022
Mandat: US National Science Foundation, US Department of Defense
Optimal control of transitions between nonequilibrium steady states
PR Zulkowski, DA Sivak, MR DeWeese
PloS one 8 (12), e82754, 2013
Mandat: US National Institutes of Health
Up states are rare in awake auditory cortex
T Hromádka, AM Zador, MR DeWeese
Journal of Neurophysiology 109 (8), 1989-1995, 2013
Mandat: US National Institutes of Health
Sparse coding models can exhibit decreasing sparseness while learning sparse codes for natural images
J Zylberberg, MR DeWeese
PLoS computational biology 9 (8), e1003182, 2013
Mandat: Howard Hughes Medical Institute
Optimal finite-time Brownian Carnot engine
AG Frim, MR DeWeese
Physical Review E 105 (5), L052103, 2022
Mandat: US National Science Foundation, US Department of Defense
The eigenlearning framework: A conservation law perspective on kernel ridge regression and wide neural networks
JB Simon, M Dickens, D Karkada, MR DeWeese
Transactions on Machine Learning Research, 2023
Mandat: US National Science Foundation, US Department of Defense
Limited-control optimal protocols arbitrarily far from equilibrium
A Zhong, MR DeWeese
Physical Review E 106 (4), 044135, 2022
Mandat: US Department of Defense
Replay as wavefronts and theta sequences as bump oscillations in a grid cell attractor network
L Kang, MR DeWeese
Elife 8, e46351, 2019
Mandat: US Department of Defense
Early selection of task-relevant features through population gating
J Barbosa, R Proville, CC Rodgers, MR DeWeese, S Ostojic, Y Boubenec
Nature communications 14 (1), 6837, 2023
Mandat: US National Institutes of Health, Agence Nationale de la Recherche
Efficient sensory coding of multidimensional stimuli
TE Yerxa, E Kee, MR DeWeese, EA Cooper
PLoS computational biology 16 (9), e1008146, 2020
Mandat: Human Frontier Science Program
Reverse engineering the neural tangent kernel
JB Simon, S Anand, M Deweese
International Conference on Machine Learning, 20215-20231, 2022
Mandat: US National Science Foundation, US Department of Defense
Solution to the Fokker-Planck equation for slowly driven Brownian motion: Emergent geometry and a formula for the corresponding thermodynamic metric
NS Wadia, RV Zarcone, MR DeWeese
Physical Review E 105 (3), 034130, 2022
Mandat: US National Science Foundation, US Department of Defense
Engineered swift equilibration for arbitrary geometries
AG Frim, A Zhong, SF Chen, D Mandal, MR DeWeese
Physical Review E 103 (3), L030102, 2021
Mandat: US National Science Foundation, US Department of Defense
Flexible selection of task-relevant features through population gating
J Barbosa, R Proville, CC Rodgers, MR DeWeese, S Ostojic, Y Boubenec
bioRxiv, 2022.07. 21.500962, 2022
Mandat: US National Institutes of Health, Agence Nationale de la Recherche
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