Ila Fiete

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Yoram BurakHebrew UniversityVerified email at elsc.huji.ac.il
H Sebastian SeungProfessor, Princeton Neuroscience Institute and Computer Science Dept.Verified email at princeton.edu
Rishidev ChaudhuriAssistant Professor, University of California, DavisVerified email at ucdavis.edu
KiJung YoonThe University of Texas at AustinVerified email at utexas.edu
Richard HahnloserInstitute of Neuroinformatics, ETH Zurich and University of ZurichVerified email at ini.ethz.ch
Ingmar KanitscheiderOpenAIVerified email at openai.com
Michale S FeeProfessor of Neuroscience, Massachusetts Institute of Technology (MIT)Verified email at mit.edu
John Widloskipostdoc, UC BerkeleyVerified email at berkeley.edu
David W. TankPrinceton UniversityVerified email at princeton.edu
Caswell BarryNeuroscience, UCLVerified email at ucl.ac.uk
Neil BurgessProfessor of Cognitive Neuroscience, University College LondonVerified email at ucl.ac.uk
Mirko KlukasMITVerified email at mit.edu
Adrien PeyracheAssistant 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
Amina KinkhabwalaResearch Associate, Princeton UniversityVerified email at princeton.edu
Sam LewallenCenter for Brain Science, Harvard UniversityVerified email at fas.harvard.edu
Walter SennInstitut für Physiologie, Universität Bern, SwitzerlandVerified email at pyl.unibe.ch
L F AbbottBrandeis University, CERN, Boston University, Columbia University, Stanford Linear AcceleratorVerified email at columbia.edu
svoboda k and svoboda karelGroup Leader, HHMI, Janelia Farm Research CampusVerified email at janelia.hhmi.org

Ila Fiete

Professor of Brain and Cognitive Sciences, MIT

Verified email at mit.edu

Theoretical neuroscience Computational neuroscience Neural coding Population coding Memory


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	604	2009
What grid cells convey about rat location IR Fiete, Y Burak, T Brookings Journal of Neuroscience 28 (27), 6858-6871, 2008	273	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	255	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	239	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	196	2011
Computational principles of memory. R Chaudhuri, IR Fiete Nature Neuroscience, 2016	180	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	180	2007
Testing odor response stereotypy in the Drosophila mushroom body M Murthy, I Fiete, G Laurent Neuron 59 (6), 1009-1023, 2008	168	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	132	2019
Gradient learning in spiking neural networks by dynamic perturbation of conductances IR Fiete, HS Seung Physical review letters 97 (4), 048104, 2006	120	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	109	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	98	2012
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	93	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	87	2014
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	63	2020
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	63	2018
Do we understand the emergent dynamics of grid cell activity? Y Burak, I Fiete Journal of Neuroscience 26 (37), 9352-9354, 2006	58	2006
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	56	2019
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	50	2016
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	48	2017

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