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Ila R. Fiete

Ila Fiete uses computational and theoretical approaches to understand the nature of distributed coding, error correction, and dynamical mechanisms that underlie representation, memory and computation in the brain. Her focus is on questions at the nexus of information and dynamics in neural systems, to understand how coding and statistics fundamentally constrain dynamics, and vice-versa. She is working to understand the networks that underlie integration, memory, and spatial navigation in the brain’s hippocampus and associated cortical areas, which contain place, head direction and grid cells. Ila Fiete obtained her Ph.D. in Physics at Harvard University while transitioning into Neuroscience under the guidance of Sebastian Seung at MIT. Her postdoctoral work was at the Kavli Institute for Theoretical Physics at Santa Barbara, and at Caltech, where she was a Broad Fellow. Ila Fiete is a Howard Hughes Medical Institute Faculty Scholar, a fellow in the Center for Learning and Memory and Center for Perceptual Systems at the University of Texas at Austin, and a Simons Investigator as part of the SCGB.

Awards

HHMI Faculty Scholar Award , 2016.

Young Investigator Award, Office of Naval Research , 2013.

McKnight Endowment Fund Scholar Award, 2011.

Searle Scholar Award , 2010.

Alfred P. Sloan Foundation Fellow , 2009.

Relevant Publications

R. Chaudhuri and I.R. Fiete, "Associative content-addressable networks with exponentially many robust stable states," 2017.

R. Chaudhuri and I.R. Fiete, "Associative content-addressable networks with exponentially many robust stable states," 2017.

R. Chaudhuri and I.R. Fiete, "Computational principles of memory," Nature Neuroscience, 19, 394-403, 2016.

I. Kanitscheider and I.R. Fiete, "Toward a comprehensive functional understanding of the brain's spatial navigation system," Current Opinion in Systems Biology, 3 186-194, 2017.

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.

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Appointment

Senior Fellow Learning in Machines & Brains

Institution

The University of Texas at AustinNeuroscience

Education

Ph.D. in Physics Harvard University

A.M. in Physics Harvard University

B.S. in Mathematics and in Physics The University of Michigan

Country

United States

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