| 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 | 1602 | 2013 |
| Synaptic theory of working memory G Mongillo, O Barak, M Tsodyks Science 319 (5869), 1543-1546, 2008 | 1361 | 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 | 510 | 2013 |
| Working models of working memory O Barak, M Tsodyks Current opinion in neurobiology 25, 20-24, 2014 | 284 | 2014 |
| Recurrent neural networks as versatile tools of neuroscience research O Barak Current opinion in neurobiology 46, 1-6, 2017 | 240 | 2017 |
| Neuronal population coding of parametric working memory O Barak, M Tsodyks, R Romo Journal of Neuroscience 30 (28), 9424-9430, 2010 | 220 | 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 | 215 | 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 | 194 | 2013 |
| Persistent activity in neural networks with dynamic synapses O Barak, M Tsodyks PLoS computational biology 3 (2), e35, 2007 | 149 | 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 | 131 | 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 | 126 | 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 | 113 | 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 | 77 | 2020 |
| Local dynamics in trained recurrent neural networks A Rivkind, O Barak Physical review letters 118 (25), 258101, 2017 | 76 | 2017 |
| Grid cells encode local positional information R Ismakov, O Barak, K Jeffery, D Derdikman Current Biology 27 (15), 2337-2343. e3, 2017 | 68 | 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 | 58 | 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 | 58 | 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 | 58 | 2008 |
| Stable memory with unstable synapses L Susman, N Brenner, O Barak Nature communications 10 (1), 4441, 2019 | 50 | 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 | 50 | 2015 |
Misha TsodyksWeizmann Institute在 weizmann.ac.il 的电子邮件经过验证
