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Nature Reviews. Neuroscience|November 4, 2022
Attractor and integrator networks in the brainMikail Khona, Ila R FieteNeural Computation|September 19, 2023
Winning the Lottery With Neural Connectivity Constraints: Faster Learning Across Cognitive Tasks With Spatially Constrained Sparse RNNsMikail Khona, Sarthak Chandra, Joy J Ma, et al.Plos Computational Biology|February 21, 2009
Accurate path integration in continuous attractor network models of grid cellsYoram Burak, Ila R FieteNeuron|July 18, 2014
A model of grid cell development through spatial exploration and spike time-dependent plasticityJohn Widloski, Ila R FieteNature Neuroscience|September 8, 2020
Systematic errors in connectivity inferred from activity in strongly recurrent networksAbhranil Das, Ila R FieteProceedings of the National Academy of Sciences of the United States of America|October 11, 2012
Fundamental limits on persistent activity in networks of noisy neuronsYoram Burak, Ila R FietePhysical Review Letters|August 16, 2006
Gradient learning in spiking neural networks by dynamic perturbation of conductancesIla R Fiete, H Sebastian SeungAnnual Review of Neuroscience|April 29, 2024
Grid Cells in Cognition: Mechanisms and FunctionLing L Dong, Ila R FieteNature|February 19, 2025
Global modules robustly emerge from local interactions and smooth gradientsMikail Khona, Sarthak Chandra, Ila FietePageof 4