Ila Fiete
Ila Fiete
Professor of Brain and Cognitive Sciences, MIT
Verified email at
Cited by
Cited by
Accurate path integration in continuous attractor network models of grid cells
Y Burak, IR Fiete
PLoS computational biology 5 (2), e1000291, 2009
What grid cells convey about rat location
IR Fiete, Y Burak, T Brookings
Journal of Neuroscience 28 (27), 6858-6871, 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
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
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
Computational principles of memory.
R Chaudhuri, IR Fiete
Nature Neuroscience, 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
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
Testing odor response stereotypy in the Drosophila mushroom body
M Murthy, I Fiete, G Laurent
Neuron 59 (6), 1009-1023, 2008
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
Gradient learning in spiking neural networks by dynamic perturbation of conductances
IR Fiete, HS Seung
Physical review letters 97 (4), 048104, 2006
Attractor and integrator networks in the brain
M Khona, IR Fiete
Nature Reviews Neuroscience 23 (12), 744-766, 2022
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
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
A Model of Grid Cell Development through Spatial Exploration and Spike Time-Dependent Plasticity
J Widloski, IR Fiete
Neuron 83 (2), 481-495, 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
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
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
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
Systematic errors in connectivity inferred from activity in strongly recurrent networks
A Das, IR Fiete
Nature Neuroscience 23 (10), 1286-1296, 2020
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