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Ila Fiete

From EverybodyWiki Bios & Wiki


Ila Fiete

Ila Fiete is an associate professor in the Department of Neuroscience at the University of Texas at Austin. Fiete’s interests are focused on using computational and theoretical tools to better understand the dynamical mechanisms and coding strategies in the brain.[1]

Education

The earliest record we have of Ila Fiete’s education was in 2004 as she graduated from Harvard University in order to join the Department of Physics. For two years after that, she was a Postdoctoral fellow at the Kavli Institute for Theoretical Physics at the University of California, Santa Barbara. From 2006-2008, Fiete was a Broad Fellow in Brain Circuitry at California Institute of Technology.

Career

After obtaining her Ph.D. at Harvard in 2004, Fiete participated in research in theoretical and computational neuroscience in the Department of Brain and Cognitive Sciences at the Massachusetts Institute of Technology under the guidance of Sebastian Seung. Also, after her fellowship at the California Institute of Technology in 2008, Fiete began to work as an Associate Professor in the Department of Neuroscience at the University of Texas at Austin.[1]

Accomplishments

Fiete has been recognized for a wide variety of awards and distinguishments including as an, Alfred P. Sloan Foundation Fellow, Searle Scholar, Office of Naval Research Young Investigator, and as a McKnight Scholar. As of now, she is a Howard Hughes Faculty Scholar and a fellow in the Center of Learning and Memory at the University of Texas at Austin.

Published Papers

R. Chaudhuri, B. Gercek*, B. Pandey*, A. Peyrache, I.R. Fiete. The intrinsic population dynamics of a canonical cognitive circuit. Nature Neurosci. (2019). [*co-second author][2]

S.G. Trettel*, J.B. Trimper*, E. Hwaun, I.R. Fiete, L.L. Colgin. Grid cell co-activity patterns during sleep reflect spatial overlap of grid fields during active behaviors. Nature Neurosci. 22, 609–617 (2019). [*co-first author][3]

C. Roth, I. Kanitscheider, I.R. Fiete. Kernel RNN Learning (KeRNL). Proceedings of ICLR (2019).[4]

Y. Gu, S. Lewallen, A. Kinkhabwala, C. Domnisoru, K. Yoon, J. Gauthier, I.R. Fiete, and D.W. Tank. A map-like micro-organization of grid cells in the medial entorhinal cortex. Cell 175, 736–750 (2018).[5]

J. Widloski, M. Marder, and I.R. Fiete. Inferring circuit mechanisms from sparse neural recording and global perturbation in grid cells. eLife 10.7554/eLife.33503.001 (2018).[6]

I. Kanitscheider and I.R. Fiete. Emergence of dynamically reconfigurable hippocampal responses by learning to perform probabilistic spatial reasoning. bioRxiv 10.1101/231159 (2017).[7]

The International Brain Laboratory (consortium including the Fiete lab). An International Laboratory for Systems and Computational Neuroscience. Neuron (2017).[8]

I. Kanitscheider and I.R. Fiete. Training recurrent networks to generate hypotheses about how the brain solves hard navigation problems. In Advances in NIPS (2017).[9]

O.O. Koyluoglu, Y. Pertzov, S. Manohar, M. Husain, I.R. Fiete. Fundamental bound on the persistence and capacity of short-term memory stored as graded persistent activity. eLife 2017;6:e22225 (2017).[10]

I. Kanitscheider and I.R. Fiete. Toward a comprehensive functional understanding of the brain’s spatial navigation system. Curr. Opinion in Systems Biol. 3 186-194 (2017).[11]

R. Chaudhuri and I.R. Fiete. Computational principles of memory. Nature Neurosci. 19, 394-403 (2016).[12]

K Yoon*, S. Lewallen*, A. Kinkhabwalla, D.W. Tank+ and I.R. Fiete+. Grid cell responses in 1D environments assessed as slices through a 2D lattice. Neuron 89(5), 1086-1099 (2016) [*co-first author; +co-senior author][13]

Y. Yoo, O.O. Koyluoglu, S. Vishwanath, I. R. Fiete. Multi-periodic neural coding for adaptive information transfer. Theoretical Computer Science 633, 37-53 (2016).[14]

X. Chen, Q. He, J.W. Kelly, I.R. Fiete and T.P. McNamara. Bias in human path integration is predicted by properties of grid cells. Current Biology 25, 1771–1776 (2015).[15]

I. Fiete, D. Schwab and N.M. Tran. A binary Hopfield network with 1/log(n) information rate and applications to grid cell decoding. Workshop paper for Biological Distributed Algorithms, Austin TX (2014).[16]

J. Widloski and I. R. Fiete. A Model of Grid Cell Development through Spatial Exploration and Spike Time-Dependent Plasticity. Neuron 83(2): 481–495 (2014).[17]

K. Yoon, M. Buice, C. Barry, N. Burgess, and I. R. Fiete. Specific evidence of low dimensional continuous attractor dynamics in grid cells. Nature Neurosci. 16, 1077-1084 doi:10.1038/nn.3450 (2013).[18]

J. Widloski and I. R. Fiete. How does the brain solve the computational problems of spatial navigation? Bookchapter in Space, Time, and Memory in the Hippocampal Formation. Eds. D. Derdikman and J. Knierim. Springer-Verlag. (2013).[19]

Y. Burak and I. R. Fiete. Fundamental limits on persistent activity in networks of noisy neurons. PNAS 109 (43): 17645-17650 (2012).[20]

Y. Yoo, O. O. Koyluoglu, S. Vishwanath and I. R. Fiete. Dynamic shift-map coding with side information at the decoder. 50th Annual Allerton Conference on Communication, Control, and Computing (2012).[21]

S. Sreenivasan and I. R. Fiete. Grid cells generate an analog error-correcting code for singularly precise neural computation. Nature Neurosci. 14, 1330-1337 doi:10.1038/nn.2901 (2011).[22]

I. R. Fiete. Losing phase. Neuron 66(3): 331-34 (2010).[23]

I. R. Fiete, W. Senn, C. Wang, R. H. R. Hahnloser. Spike time-dependent plasticity and heterosynaptic competition organize networks to produce long scale-free sequences of neural activity. Neuron 65(4): 563-576 (2010).[24]

Y. Burak and I. R. Fiete. Accurate path integration in continuous attractor network models of grid cells. PLoS Comp. Biol. 5(2) (2009).[25]

I. R. Fiete and H. S. Seung. Birdsong Learning. In Encyclopedia of Neuroscience  (L. Squire, Editor). Amsterdam: Elsevier Academic Press, pp. 227-239 (2009). (Originally available online 2008 on Science Direct.[26]

M. Murthy, I. R. Fiete, and G. Laurent. Testing odor response stereotypy in the Drosophila mushroom body. Neuron 59(6):1009-23 (2008).[27]

  • Related preview: S. Cachero and G. Jefferis. Drosophila olfaction: The end of stereotypy? Neuron 59(6): 843-845 (2008).[28]

P.E. Welinder, Y. Burak and I. R. Fiete. Grid cells: The position code, neural network models of activity, and the problem of learning. Hippocampus 18(12):1283-300 (2008).[29]

I. R. Fiete, Y. Burak and T. Brookings. What grid cells encode about rat position. J. Neuroscience 28, 6856-6871 (2008).[30]

I. R. Fiete, M.S. Fee and H. S. Seung. Model of birdsong learning based on gradient estimation by dynamic perturbation of neural conductances. J. Neurophysiology 98, 2038 2057 (2007).[31]

Y. Burak and I. R. Fiete. Do we understand the emergent dynamics of grid cell activity? J. Neuroscience 26, 9352-9354 (2006).[32]

I. R. Fiete and H. S. Seung. Gradient learning in spiking neural networks by dynamic perturbation of conductances. Physical Review Letters 97, 048104 (2006).[33]

I. R. Fiete, R.H.R Hahnloser, M.S. Fee and H. S. Seung. Temporal sparseness of the premotor drive is important for rapid learning in a neural network model of birdsong. J. Neurophysiology 92, 2274 (2004).[34]

S. Sullow, I.R. Prasad, M.C. Aronson et al. Metallization and magnetic order in EuB_6. Physical Review B 62, 11626 (2000).[35]

S. Sullow, I.R. Prasad, S. Bogdanovich et al. Magnetotransport in the low carrier density ferromagnet EuB_6. J. Applied Physics 87, 5591 (2000).[36]

S. Süllow, I.R. Prasad, M.C. Aronson et al. Magnetic order of EuB_6. Physical Review B 57, 5860 (1998).[37]

Preprints

M. Klukas, M. Lewis, I.R. Fiete. Flexible representation and memory of higher-dimensional cognitive variables with grid cells. bioRxiv 10.1101/578641 (2019).[38]

A. Das, I.R. Fiete. Systematic errors in connectivity inferred from activity in strongly coupled recurrent circuits. bioRxiv 10.1101/512053 (2019).[39]

B. Kriener*, R. Chaudhuri*, I.R. Fiete. Robust parallel decision-making in neural circuits with nonlinear inhibition. bioRxiv 10.1101/231753 (2019).[*co-first author][40]

M. Stangl*, I. Kanitscheider*, M. Riemer, I.R. Fiete+, and T. Wolbers+. Sources of path integration error in young and aging humans. bioRxiv 10.1101/466870 (2018). [*co-first author; +co-senior author][41]

R. Chaudhuri and I.R. Fiete. Associative content-addressable networks with exponentially many robust stable states. arXiv:1704.02019 [q-bio.NC] (2017).[42]

References

  1. ↑ 1.0 1.1 "Ila Fiete". Simons Foundation. 2014-10-13. Retrieved 2019-12-09.
  2. ↑ Chaudhuri, Rishidev; Gerçek, Berk; Pandey, Biraj; Peyrache, Adrien; Fiete, Ila (September 2019). "The intrinsic attractor manifold and population dynamics of a canonical cognitive circuit across waking and sleep". Nature Neuroscience. 22 (9): 1512–1520. doi:10.1038/s41593-019-0460-x. ISSN 1546-1726. PMID 31406365.
  3. ↑ Trettel, Sean G.; Trimper, John B.; Hwaun, Ernie; Fiete, Ila R.; Colgin, Laura Lee (April 2019). "Grid cell co-activity patterns during sleep reflect spatial overlap of grid fields during active behaviors". Nature Neuroscience. 22 (4): 609–617. doi:10.1038/s41593-019-0359-6. ISSN 1546-1726. PMID 30911183.
  4. ↑ Roth, Christopher; Kanitscheider, Ingmar; Fiete, Ila (2018-09-27). "Kernel RNN Learning (KeRNL)".
  5. ↑ "A Map-like Micro-Organization of Grid Cells in the Medial Entorhinal Cortex" (PDF). Unknown parameter |url-status= ignored (help)
  6. ↑ Widloski, John; Marder, Michael P; Fiete, Ila R (2018-07-09). Derdikman, Dori; Frank, Michael J, eds. "Inferring circuit mechanisms from sparse neural recording and global perturbation in grid cells". eLife. 7: e33503. doi:10.7554/eLife.33503. ISSN 2050-084X. PMC 6078497. PMID 29985132.
  7. ↑ Kanitscheider, Ingmar; Fiete, Ila (2017-12-08). "Emergence of dynamically reconfigurable hippocampal responses by learning to perform probabilistic spatial reasoning". bioRxiv 10.1101/231159 Check |biorxiv= value (help).
  8. ↑ Abbott, Larry F.; Angelaki, Dora E.; Carandini, Matteo; Churchland, Anne K.; Dan, Yang; Dayan, Peter; Deneve, Sophie; Fiete, Ila; Ganguli, Surya; Harris, Kenneth D.; Häusser, Michael (2017-12-20). "An International Laboratory for Systems and Computational Neuroscience". Neuron. 96 (6): 1213–1218. doi:10.1016/j.neuron.2017.12.013. ISSN 0896-6273. PMC 5752703. PMID 29268092.
  9. ↑ Kanitscheider, Ingmar; Fiete, Ila (2017), Guyon, I.; Luxburg, U. V.; Bengio, S.; Wallach, H., eds., "Training recurrent networks to generate hypotheses about how the brain solves hard navigation problems" (PDF), Advances in Neural Information Processing Systems 30, Curran Associates, Inc., pp. 4529–4538, arXiv:1609.09059, Bibcode:2016arXiv160909059K, retrieved 2019-12-09
  10. ↑ Koyluoglu, Onur Ozan; Pertzov, Yoni; Manohar, Sanjay; Husain, Masud; Fiete, Ila R (2017-09-07). Davachi, Lila, ed. "Fundamental bound on the persistence and capacity of short-term memory stored as graded persistent activity". eLife. 6: e22225. doi:10.7554/eLife.22225. ISSN 2050-084X. PMC 5779315. PMID 28879851.
  11. ↑ Kanitscheider, Ingmar; Fiete, Ila (2017-06-01). "Making our way through the world: Towards a functional understanding of the brain's spatial circuits". Current Opinion in Systems Biology. • Mathematical modelling • Mathematical modelling, Dynamics of brain activity at the systems level • Clinical and translational systems biology. 3: 186–194. doi:10.1016/j.coisb.2017.04.008. ISSN 2452-3100.
  12. ↑ Chaudhuri, Rishidev; Fiete, Ila (March 2016). "Computational principles of memory". Nature Neuroscience. 19 (3): 394–403. doi:10.1038/nn.4237. ISSN 1546-1726. PMID 26906506.
  13. ↑ Yoon, KiJung; Lewallen, Sam; Kinkhabwala, Amina A.; Tank, David W.; Fiete, Ila R. (2016-03-02). "Grid Cell Responses in 1D Environments Assessed as Slices through a 2D Lattice". Neuron. 89 (5): 1086–1099. doi:10.1016/j.neuron.2016.01.039. ISSN 0896-6273. PMC 5507689. PMID 26898777.
  14. ↑ Yoo, Yongseok; Ozan Koyluoglu, O.; Vishwanath, Sriram; Fiete, Ila (2016-06-20). "Multi-periodic neural coding for adaptive information transfer". Theoretical Computer Science. Biologically Inspired Processes in Neural Computation. 633: 37–53. doi:10.1016/j.tcs.2016.02.026. ISSN 0304-3975.
  15. ↑ Chen, Xiaoli; He, Qiliang; Kelly, Jonathan W.; Fiete, Ila R.; McNamara, Timothy P. (2015-06-29). "Bias in Human Path Integration Is Predicted by Properties of Grid Cells". Current Biology. 25 (13): 1771–1776. doi:10.1016/j.cub.2015.05.031. ISSN 0960-9822. PMID 26073138.
  16. ↑ "A binary Hopfield network with 1/ log(n) information rate and applications to grid cell decoding" (PDF). Unknown parameter |url-status= ignored (help)
  17. ↑ Widloski, John; Fiete, Ila R. (2014-07-16). "A Model of Grid Cell Development through Spatial Exploration and Spike Time-Dependent Plasticity". Neuron. 83 (2): 481–495. doi:10.1016/j.neuron.2014.06.018. ISSN 0896-6273. PMID 25033187.
  18. ↑ Yoon, KiJung; Buice, Michael A.; Barry, Caswell; Hayman, Robin; Burgess, Neil; Fiete, Ila R. (August 2013). "Specific evidence of low-dimensional continuous attractor dynamics in grid cells". Nature Neuroscience. 16 (8): 1077–1084. doi:10.1038/nn.3450. ISSN 1546-1726. PMC 3797513. PMID 23852111.
  19. ↑ "How does the brain solve the computational problems of spatial navigation?" (PDF). Unknown parameter |url-status= ignored (help)
  20. ↑ "Fundamental limits on persistent activity in networks of noisy neurons" (PDF). Unknown parameter |url-status= ignored (help)
  21. ↑ "Dynamic shift-map coding with side information at the decoder" (PDF). Unknown parameter |url-status= ignored (help)
  22. ↑ "Grid cells generate an analog error-correcting code for singularly precise neural computation" (PDF). Unknown parameter |url-status= ignored (help)
  23. ↑ Fiete, Ila. "Losing Phase" (PDF). Unknown parameter |url-status= ignored (help)
  24. ↑ "Spike-Time-Dependent Plasticity and Heterosynaptic Competition Organize Networks to Produce Long Scale-Free Sequences of Neural Activity" (PDF). Unknown parameter |url-status= ignored (help)
  25. ↑ "Accurate Path Integration in Continuous Attractor Network Models of Grid Cells" (PDF). Unknown parameter |url-status= ignored (help)
  26. ↑ "Neural network models of birdsong production, learning, and coding" (PDF). Unknown parameter |url-status= ignored (help)
  27. ↑ "Testing Odor Response Stereotypy in the Drosophila Mushroom Body" (PDF). Unknown parameter |url-status= ignored (help)
  28. ↑ "Drosophila Olfaction: The End of Stereotypy?" (PDF). Unknown parameter |url-status= ignored (help)
  29. ↑ "Grid Cells: The Position Code, Neural Network Models of Activity, and the Problem of Learning" (PDF). Unknown parameter |url-status= ignored (help)
  30. ↑ "What Grid Cells Convey about Rat Location" (PDF). Unknown parameter |url-status= ignored (help)
  31. ↑ "What grid cells convey about rat location" (PDF). Unknown parameter |url-status= ignored (help)
  32. ↑ "Do We Understand the Emergent Dynamics of Grid Cell Activity?" (PDF). Unknown parameter |url-status= ignored (help)
  33. ↑ "Gradient Learning in Spiking Neural Networks by Dynamic Perturbation of Conductances" (PDF). Unknown parameter |url-status= ignored (help)
  34. ↑ "Temporal Sparseness of the Premotor Drive Is Important for Rapid Learning in a Neural Network Model of Birdsong" (PDF). Unknown parameter |url-status= ignored (help)
  35. ↑ "Metallization and magnetic order in EuB6" (PDF). Unknown parameter |url-status= ignored (help)
  36. ↑ "Magnetotransport in the low carrier density ferromagnet EuB6" (PDF). Unknown parameter |url-status= ignored (help)
  37. ↑ "Structure and magnetic order of EuB6" (PDF). Unknown parameter |url-status= ignored (help)
  38. ↑ Klukas, Mirko; Lewis, Marcus; Fiete, Ila (2019-03-16). "Flexible representation and memory of higher-dimensional cognitive variables with grid cells". bioRxiv 10.1101/578641 Check |biorxiv= value (help).
  39. ↑ Das, Abhranil; Fiete, Ila R. (2019-01-04). "Systematic errors in connectivity inferred from activity in strongly coupled recurrent circuits". bioRxiv 10.1101/512053 Check |biorxiv= value (help).
  40. ↑ Kriener, Birgit; Chaudhuri, Rishidev; Fiete, Ila R. (2017-12-11). "How fast is neural winner-take-all when deciding between many options?". bioRxiv 10.1101/231753 Check |biorxiv= value (help).
  41. ↑ Stangl, Matthias; Kanitscheider, Ingmar; Riemer, Martin; Fiete, Ila; Wolbers, Thomas (2018-11-12). "Sources of path integration error in young and aging humans". bioRxiv 10.1101/466870 Check |biorxiv= value (help).
  42. ↑ Chaudhuri, Rishidev; Fiete, Ila (2017-04-06). "Associative content-addressable networks with exponentially many robust stable states". arXiv:1704.02019 [q-bio.NC].


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