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
Grid cells generate an analog error-correcting code for singularly precise neural computation
S Sreenivasan, I Fiete
Nature neuroscience 14 (10), 1330-1337, 2011
Computational principles of memory.
R Chaudhuri, IR Fiete
Nature Neuroscience, 2016
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 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
Gradient learning in spiking neural networks by dynamic perturbation of conductances
IR Fiete, HS Seung
Physical review letters 97 (4), 048104, 2006
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
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
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
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
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
Training recurrent networks to generate hypotheses about how the brain solves hard navigation problems
I Kanitscheider, I Fiete
Advances in Neural Information Processing Systems 30, 2017
Do we understand the emergent dynamics of grid cell activity?
Y Burak, I Fiete
Journal of Neuroscience 26 (37), 9352-9354, 2006
Grid cell responses in 1D environments assessed as slices through a 2D lattice
KJ Yoon, S Lewallen, AA Kinkhabwala, DW Tank, IR Fiete
Neuron 89 (5), 1086-1099, 2016
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