フォロー
Joel Zylberberg
Joel Zylberberg
York University and CIFAR
確認したメール アドレス: yorku.ca - ホームページ
タイトル
引用先
引用先
A deep learning framework for neuroscience
BA Richards, TP Lillicrap, P Beaudoin, Y Bengio, R Bogacz, ...
Nature neuroscience 22 (11), 1761-1770, 2019
7812019
Searching for modified growth patterns with tomographic surveys
GB Zhao, L Pogosian, A Silvestri, J Zylberberg
Physical Review D 79 (8), 083513, 2009
3222009
A sparse coding model with synaptically local plasticity and spiking neurons can account for the diverse shapes of V1 simple cell receptive fields
J Zylberberg, JT Murphy, MR DeWeese
PLoS computational biology 7 (10), e1002250, 2011
2362011
Mechanisms of persistent activity in cortical circuits: possible neural substrates for working memory
J Zylberberg, BW Strowbridge
Annual review of neuroscience 40, 603-627, 2017
1662017
Bismuth Aluminate: A New High-TC Lead-Free Piezo-/ferroelectric
J Zylberberg, A A. Belik, E Takayama-Muromachi, ZG Ye
Chemistry of Materials 19 (26), 6385-6390, 2007
1572007
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
1432013
Direction-selective circuits shape noise to ensure a precise population code
J Zylberberg, J Cafaro, MH Turner, E Shea-Brown, F Rieke
Neuron 89 (2), 369-383, 2016
1392016
Cosmological tests of general relativity with future tomographic surveys
GB Zhao, L Pogosian, A Silvestri, J Zylberberg
Physical Review Letters 103 (24), 241301, 2009
1192009
Using deep learning to probe the neural code for images in primary visual cortex
WF Kindel, ED Christensen, J Zylberberg
Journal of vision 19 (4), 29-29, 2019
79*2019
The sign rule and beyond: boundary effects, flexibility, and noise correlations in neural population codes
Y Hu, J Zylberberg, E Shea-Brown
PLoS computational biology 10 (2), e1003469, 2014
722014
Robust information propagation through noisy neural circuits
J Zylberberg, A Pouget, PE Latham, E Shea-Brown
PLoS computational biology 13 (4), e1005497, 2017
552017
The role of untuned neurons in sensory information coding
J Zylberberg
BioRxiv, 134379, 2017
372017
The language of the brain: real-world neural population codes
JA Pruszynski, J Zylberberg
Current opinion in neurobiology 58, 30-36, 2019
362019
Improved object recognition using neural networks trained to mimic the brain’s statistical properties
C Federer, H Xu, A Fyshe, J Zylberberg
Neural Networks 131, 103-114, 2020
332020
Triplet correlations among similarly tuned cells impact population coding
NA Cayco-Gajic, J Zylberberg, E Shea-Brown
Frontiers in computational neuroscience 9, 57, 2015
332015
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
332013
Improvements of the DRAGON recoil separator at ISAC
C Vockenhuber, L Buchmann, J Caggiano, AA Chen, JM D’Auria, ...
Nuclear Instruments and Methods in Physics Research Section B: Beam …, 2008
322008
Improved dielectric properties of bismuth-doped LaAlO3
J Zylberberg, ZG Ye
Journal of applied physics 100 (8), 2006
322006
Learning from unexpected events in the neocortical microcircuit
CJ Gillon, JE Pina, JA Lecoq, R Ahmed, YN Billeh, S Caldejon, ...
BioRxiv, 2021.01. 15.426915, 2021
272021
Temperature dependence of the capacitance of a ferroelectric material
J Bechhoefer, Y Deng, J Zylberberg, C Lei, ZG Ye
American Journal of Physics 75 (11), 1046-1053, 2007
262007
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