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Ila R. Fiete - Publications

Affiliations: 
University of Texas at Austin, Austin, Texas, U.S.A. 
Area:
Computation, theory, coding, dynamics
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28 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2023 Schaeffer R, Khona M, Koyejo S, Fiete IR. Disentangling Fact from Grid Cell Fiction in Trained Deep Path Integrators. Arxiv. PMID 38106458  0.347
2023 Pattadkal JJ, Zemelman BV, Fiete I, Priebe NJ. Primate neocortex performs balanced sensory amplification. Neuron. PMID 38091984 DOI: 10.1016/j.neuron.2023.11.005  0.339
2020 Abbott LF, Bock DD, Callaway EM, Denk W, Dulac C, Fairhall AL, Fiete I, Harris KM, Helmstaedter M, Jain V, Kasthuri N, LeCun Y, Lichtman JW, Littlewood PB, Luo L, et al. The Mind of a Mouse. Cell. 182: 1372-1376. PMID 32946777 DOI: 10.1016/J.Cell.2020.08.010  0.536
2020 Das A, Fiete IR. Systematic errors in connectivity inferred from activity in strongly recurrent networks. Nature Neuroscience. PMID 32895567 DOI: 10.1038/s41593-020-0699-2  0.508
2020 Klukas M, Lewis M, Fiete I. Efficient and flexible representation of higher-dimensional cognitive variables with grid cells. Plos Computational Biology. 16. PMID 32343687 DOI: 10.1371/Journal.Pcbi.1007796  0.422
2019 Chaudhuri R, Gerçek B, Pandey B, Peyrache A, Fiete I. The intrinsic attractor manifold and population dynamics of a canonical cognitive circuit across waking and sleep. Nature Neuroscience. PMID 31406365 DOI: 10.1038/S41593-019-0460-X  0.377
2019 Trettel SG, Trimper JB, Hwaun E, Fiete IR, Colgin LL. Grid cell co-activity patterns during sleep reflect spatial overlap of grid fields during active behaviors. Nature Neuroscience. 22: 609-617. PMID 30911183 DOI: 10.1038/S41593-019-0359-6  0.711
2019 Fiete IR, Allen K. Decision letter: During hippocampal inactivation, grid cells maintain synchrony, even when the grid pattern is lost Elife. DOI: 10.7554/Elife.47147.018  0.351
2018 Gu Y, Lewallen S, Kinkhabwala AA, Domnisoru C, Yoon K, Gauthier JL, Fiete IR, Tank DW. A Map-like Micro-Organization of Grid Cells in the Medial Entorhinal Cortex. Cell. PMID 30270041 DOI: 10.1016/J.Cell.2018.08.066  0.642
2018 Widloski J, Fiete IR. Inferring circuit mechanisms from sparse neural recording and global perturbation in grid cells. Elife. 7. PMID 29985132 DOI: 10.7554/Elife.33503  0.76
2018 Widloski J, Marder MP, Fiete IR. Author response: Inferring circuit mechanisms from sparse neural recording and global perturbation in grid cells Elife. DOI: 10.7554/Elife.33503.023  0.754
2017 Koyluoglu OO, Pertzov Y, Manohar S, Husain M, Fiete IR. Fundamental bound on the persistence and capacity of short-term memory stored as graded persistent activity. Elife. 6. PMID 28879851 DOI: 10.7554/Elife.22225  0.35
2017 Kanitscheider I, Fiete I. Making our way through the world: Towards a functional understanding of the brain's spatial circuits Current Opinion in Systems Biology. 3: 186-194. DOI: 10.1016/J.Coisb.2017.04.008  0.314
2016 Yoon K, Lewallen S, Kinkhabwala AA, Tank DW, Fiete IR. Grid Cell Responses in 1D Environments Assessed as Slices through a 2D Lattice. Neuron. PMID 26898777 DOI: 10.1016/J.Neuron.2016.01.039  0.503
2016 Yoo Y, Ozan Koyluoglu O, Vishwanath S, Fiete I. Multi-periodic neural coding for adaptive information transfer Theoretical Computer Science. DOI: 10.1016/J.Tcs.2016.02.026  0.531
2015 Chen X, He Q, Kelly JW, Fiete IR, McNamara TP. Bias in Human Path Integration Is Predicted by Properties of Grid Cells. Current Biology : Cb. 25: 1771-6. PMID 26073138 DOI: 10.1016/J.Cub.2015.05.031  0.415
2014 Widloski J, Fiete IR. A model of grid cell development through spatial exploration and spike time-dependent plasticity. Neuron. 83: 481-95. PMID 25033187 DOI: 10.1016/J.Neuron.2014.06.018  0.778
2013 Yoon K, Buice MA, Barry C, Hayman R, Burgess N, Fiete IR. Specific evidence of low-dimensional continuous attractor dynamics in grid cells. Nature Neuroscience. 16: 1077-84. PMID 23852111 DOI: 10.1038/Nn.3450  0.652
2012 Burak Y, Fiete IR. Fundamental limits on persistent activity in networks of noisy neurons. Proceedings of the National Academy of Sciences of the United States of America. 109: 17645-50. PMID 23047704 DOI: 10.1073/Pnas.1117386109  0.661
2010 Fiete IR, Senn W, Wang CZ, Hahnloser RH. Spike-time-dependent plasticity and heterosynaptic competition organize networks to produce long scale-free sequences of neural activity. Neuron. 65: 563-76. PMID 20188660 DOI: 10.1016/j.neuron.2010.02.003  0.766
2010 Fiete IR, Seung HS. Birdsong Learning Encyclopedia of Neuroscience. 227-239. DOI: 10.1016/B978-008045046-9.01421-2  0.472
2009 Burak Y, Fiete IR. Accurate path integration in continuous attractor network models of grid cells. Plos Computational Biology. 5: e1000291. PMID 19229307 DOI: 10.1371/Journal.Pcbi.1000291  0.706
2008 Welinder PE, Burak Y, Fiete IR. Grid cells: the position code, neural network models of activity, and the problem of learning. Hippocampus. 18: 1283-300. PMID 19021263 DOI: 10.1002/Hipo.20519  0.716
2008 Fiete IR, Burak Y, Brookings T. What grid cells convey about rat location. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 28: 6858-71. PMID 18596161 DOI: 10.1523/Jneurosci.5684-07.2008  0.665
2007 Fiete IR, Fee MS, Seung HS. Model of birdsong learning based on gradient estimation by dynamic perturbation of neural conductances. Journal of Neurophysiology. 98: 2038-57. PMID 17652414 DOI: 10.1152/jn.01311.2006  0.711
2006 Burak Y, Fiete I. Do we understand the emergent dynamics of grid cell activity? The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 26: 9352-4; discussion 9. PMID 16977716 DOI: 10.1523/Jneurosci.2857-06.2006  0.573
2006 Fiete IR, Seung HS. Gradient learning in spiking neural networks by dynamic perturbation of conductances. Physical Review Letters. 97: 048104. PMID 16907616 DOI: 10.1103/PhysRevLett.97.048104  0.629
2004 Fiete IR, Hahnloser RH, Fee MS, Seung HS. Temporal sparseness of the premotor drive is important for rapid learning in a neural network model of birdsong. Journal of Neurophysiology. 92: 2274-82. PMID 15071087 DOI: 10.1152/jn.01133.2003  0.723
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