Ila Fiete

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Mikail KhonaResearch Scientist, NVIDIAVerified email at nvidia.com
Yoram BurakHebrew UniversityVerified email at elsc.huji.ac.il
Rishidev ChaudhuriAssistant Professor, University of California, DavisVerified email at ucdavis.edu
H Sebastian SeungProfessor, Princeton Neuroscience Institute and Computer Science Dept.Verified email at princeton.edu
Rylan SchaefferStanford UniversityVerified email at stanford.edu
Sarthak ChandraMassachusetts Institute of TechnologyVerified email at mit.edu
Akhilan BoopathyMassachusetts Institute of TechnologyVerified email at mit.edu
Kijung YoonHanyang UniversityVerified email at hanyang.ac.kr
Ingmar KanitscheiderOpenAIVerified email at openai.com
David W. TankPrinceton UniversityVerified email at princeton.edu
Richard HahnloserInstitute of Neuroinformatics, ETH Zurich and University of ZurichVerified email at ini.ethz.ch
Sugandha SharmaBrain and Cognitive Sciences, MITVerified email at mit.edu
Michale S FeeProfessor of Neuroscience, Massachusetts Institute of Technology (MIT)Verified email at mit.edu
John Widloskipostdoc, UC BerkeleyVerified email at berkeley.edu
Adrien PeyracheAssociate Professor, Montreal Neurological Institute, McGill UniversityVerified email at mcgill.ca
Berk GerçekGraduate Student, University of GenevaVerified email at unige.ch
Biraj Pandeygraduate student, University of WashingtonVerified email at uw.edu
Caswell BarryCDB, UCLVerified email at ucl.ac.uk
Neil BurgessProfessor of Cognitive Neuroscience, University College LondonVerified email at ucl.ac.uk
L F AbbottBrandeis University, CERN, Boston University, Columbia University, Stanford Linear AcceleratorVerified email at columbia.edu

Ila Fiete

Professor of Brain and Cognitive Sciences, MIT

Verified email at mit.edu

Theoretical neuroscience Machine Learning Theory Memory Cognitive Maps


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Accurate path integration in continuous attractor network models of grid cells Y Burak, IR Fiete PLoS computational biology 5 (2), e1000291, 2009	815	2009
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	350	2019
What grid cells convey about rat location IR Fiete, Y Burak, T Brookings Journal of Neuroscience 28 (27), 6858-6871, 2008	333	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	321	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	315	2013
Computational principles of memory. R Chaudhuri, IR Fiete Nature Neuroscience, 2016	268	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	251	2011
Attractor and integrator networks in the brain M Khona, IR Fiete Nature Reviews Neuroscience 23 (12), 744-766, 2022	231	2022
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	218	2007
Testing odor response stereotypy in the Drosophila mushroom body M Murthy, I Fiete, G Laurent Neuron 59 (6), 1009-1023, 2008	196	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	175	2020
Gradient learning in spiking neural networks by dynamic perturbation of conductances IR Fiete, HS Seung Physical review letters 97 (4), 048104, 2006	162	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	139	2012
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	116	2022
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	114	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	110	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	107	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	101	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	96	2008
Systematic errors in connectivity inferred from activity in strongly recurrent networks A Das, IR Fiete Nature Neuroscience 23 (10), 1286-1296, 2020	93	2020

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