| Accurate path integration in continuous attractor network models of grid cells Y Burak, IR Fiete PLoS computational biology 5 (2), e1000291, 2009 | 761 | 2009 |
| What grid cells convey about rat location IR Fiete, Y Burak, T Brookings Journal of Neuroscience 28 (27), 6858-6871, 2008 | 315 | 2008 |
| Spike-time-dependent plasticity and heterosynaptic competition organize networks to produce long scale-free sequences of neural activity IR Fiete, W Senn, CZH Wang, RHR Hahnloser Neuron 65 (4), 563-576, 2010 | 306 | 2010 |
| Specific evidence of low-dimensional continuous attractor dynamics in grid cells KJ Yoon, MA Buice, C Barry, R Hayman, N Burgess, IR Fiete Nature neuroscience 16 (8), 1077-1084, 2013 | 296 | 2013 |
| The intrinsic attractor manifold and population dynamics of a canonical cognitive circuit across waking and sleep R Chaudhuri, B Gerçek, B Pandey, A Peyrache, I Fiete Nature neuroscience 22 (9), 1512-1520, 2019 | 290 | 2019 |
| Computational principles of memory. R Chaudhuri, IR Fiete Nature Neuroscience, 2016 | 243 | 2016 |
| Grid cells generate an analog error-correcting code for singularly precise neural computation S Sreenivasan, I Fiete Nature neuroscience 14 (10), 1330-1337, 2011 | 233 | 2011 |
| Model of birdsong learning based on gradient estimation by dynamic perturbation of neural conductances IR Fiete, MS Fee, HS Seung Journal of neurophysiology 98 (4), 2038-2057, 2007 | 212 | 2007 |
| Testing odor response stereotypy in the Drosophila mushroom body M Murthy, I Fiete, G Laurent Neuron 59 (6), 1009-1023, 2008 | 196 | 2008 |
| Attractor and integrator networks in the brain M Khona, IR Fiete Nature Reviews Neuroscience 23 (12), 744-766, 2022 | 150 | 2022 |
| The mind of a mouse LF Abbott, DD Bock, EM Callaway, W Denk, C Dulac, AL Fairhall, I Fiete, ... Cell 182 (6), 1372-1376, 2020 | 149 | 2020 |
| Gradient learning in spiking neural networks by dynamic perturbation of conductances IR Fiete, HS Seung Physical review letters 97 (4), 048104, 2006 | 146 | 2006 |
| Fundamental limits on persistent activity in networks of noisy neurons Y Burak, IR Fiete Proceedings of the National Academy of Sciences 109 (43), 17645-17650, 2012 | 130 | 2012 |
| Temporal sparseness of the premotor drive is important for rapid learning in a neural network model of birdsong IR Fiete, RHR Hahnloser, MS Fee, HS Seung Journal of neurophysiology 92 (4), 2274-2282, 2004 | 112 | 2004 |
| A Model of Grid Cell Development through Spatial Exploration and Spike Time-Dependent Plasticity J Widloski, IR Fiete Neuron 83 (2), 481-495, 2014 | 103 | 2014 |
| A map-like micro-organization of grid cells in the medial entorhinal cortex Y Gu, S Lewallen, AA Kinkhabwala, C Domnisoru, K Yoon, JL Gauthier, ... Cell 175 (3), 736-750. e30, 2018 | 97 | 2018 |
| Grid cell co-activity patterns during sleep reflect spatial overlap of grid fields during active behaviors SG Trettel, JB Trimper, E Hwaun, IR Fiete, LL Colgin Nature neuroscience 22 (4), 609-617, 2019 | 96 | 2019 |
| Grid cells: the position code, neural network models of activity, and the problem of learning PE Welinder, Y Burak, IR Fiete Hippocampus 18 (12), 1283-1300, 2008 | 94 | 2008 |
| Cortical ensembles orchestrate social competition through hypothalamic outputs N Padilla-Coreano, K Batra, M Patarino, Z Chen, RR Rock, R Zhang, ... Nature 603 (7902), 667-671, 2022 | 81 | 2022 |
| Systematic errors in connectivity inferred from activity in strongly recurrent networks A Das, IR Fiete Nature Neuroscience 23 (10), 1286-1296, 2020 | 77 | 2020 |
Yoram BurakHebrew University在 elsc.huji.ac.il 的电子邮件经过验证
