Omri Barak
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The importance of mixed selectivity in complex cognitive tasks
M Rigotti, O Barak, MR Warden, XJ Wang, ND Daw, EK Miller, S Fusi
Nature 497 (7451), 585-590, 2013
Synaptic theory of working memory
G Mongillo, O Barak, M Tsodyks
Science 319 (5869), 1543-1546, 2008
Opening the black box: low-dimensional dynamics in high-dimensional recurrent neural networks
D Sussillo, O Barak
Neural computation 25 (3), 626-649, 2013
Working models of working memory
O Barak, M Tsodyks
Current opinion in neurobiology 25, 20-24, 2014
Recurrent neural networks as versatile tools of neuroscience research
O Barak
Current opinion in neurobiology 46, 1-6, 2017
Neuronal population coding of parametric working memory
O Barak, M Tsodyks, R Romo
Journal of Neuroscience 30 (28), 9424-9430, 2010
The sparseness of mixed selectivity neurons controls the generalization–discrimination trade-off
O Barak, M Rigotti, S Fusi
Journal of Neuroscience 33 (9), 3844-3856, 2013
From fixed points to chaos: three models of delayed discrimination
O Barak, D Sussillo, R Romo, M Tsodyks, LF Abbott
Progress in neurobiology 103, 214-222, 2013
Persistent activity in neural networks with dynamic synapses
O Barak, M Tsodyks
PLoS computational biology 3 (2), e35, 2007
Dynamic control of response criterion in premotor cortex during perceptual detection under temporal uncertainty
F Carnevale, V de Lafuente, R Romo, O Barak, N Parga
Neuron 86 (4), 1067-1077, 2015
Responses of trigeminal ganglion neurons to the radial distance of contact during active vibrissal touch
M Szwed, K Bagdasarian, B Blumenfeld, O Barak, D Derdikman, ...
Journal of neurophysiology 95 (2), 791-802, 2006
Stochastic emergence of repeating cortical motifs in spontaneous membrane potential fluctuations in vivo
A Mokeichev, M Okun, O Barak, Y Katz, O Ben-Shahar, I Lampl
Neuron 53 (3), 413-425, 2007
Dynamics of random recurrent networks with correlated low-rank structure
F Schuessler, A Dubreuil, F Mastrogiuseppe, S Ostojic, O Barak
Physical Review Research 2 (1), 013111, 2020
Local dynamics in trained recurrent neural networks
A Rivkind, O Barak
Physical review letters 118 (25), 258101, 2017
Grid cells encode local positional information
R Ismakov, O Barak, K Jeffery, D Derdikman
Current Biology 27 (15), 2337-2343. e3, 2017
Cell-type-specific outcome representation in the primary motor cortex
S Levy, M Lavzin, H Benisty, A Ghanayim, U Dubin, S Achvat, Z Brosh, ...
Neuron 107 (5), 954-971. e9, 2020
The interplay between randomness and structure during learning in RNNs
F Schuessler, F Mastrogiuseppe, A Dubreuil, S Ostojic, O Barak
Advances in neural information processing systems 33, 13352-13362, 2020
Slow oscillations in neural networks with facilitating synapses
O Melamed, O Barak, G Silberberg, H Markram, M Tsodyks
Journal of computational neuroscience 25, 308-316, 2008
Stable memory with unstable synapses
L Susman, N Brenner, O Barak
Nature communications 10 (1), 4441, 2019
Grid cells correlation structure suggests organized feedforward projections into superficial layers of the medial entorhinal cortex
G Tocker, O Barak, D Derdikman
Hippocampus 25 (12), 1599-1613, 2015
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