Tatyana O Sharpee

Tatyana Sharpee is an American neuroscientist. She is a Professor at the Salk Institute for Biological Studies, where she spearheads a research group at the Computational Neurobiology Laboratory, with the support from Edwin Hunter Chair in Neurobiology. She is also an Adjunct Professor at the Department of Physics at University of California, San Diego. She was elected a fellow of American Physical Society in 2019.

Early life and education Sharpee was interested in science from childhood, and was encouraged by her grandfather. She obtained her BS from Taras Shevchenko National University of Kyiv in Ukraine, and moved on to Michigan State University for her PhD in theoretical physics. Following her PhD, she was a Sloan-Swartz post-doctoral fellow at the University of California, San Francisco. Sharpee uses state-of-the-art deep learning algorithms to understand where the algorithms are failing at complex object transformations. The NSF grant also enabled her lab to study how the auditory system of the brain works based on large scale simulations of neural networks.

Selected publications Jeanne, J.M., Sharpee, T.O., Gentner, T.Q. Associative learning enhances population coding by inverting interneuronal correlation patterns. (2013) Neuron. 78(2):352-63. DOI: 10.1016/j.neuron.2013.02.023 Atencio, C.A., Sharpee, T.O., Schreiner, C.E. Cooperative nonlinearities in auditory cortical neurons. (2008) Neuron. 58(6):956-66. DOI: 10.1016/j.neuron.2008.04.026 Clifford, C.W.G., Webster, M.A., Stanley, G.B., et al. Visual adaptation: Neural, psychological and computational aspects. Vision Research. 2007; 47(25): 3125-3131, https://doi.org/10.1016/j.visres.2007.08.023 Sharpee, T.O., Sugihara, H., Kurgansky, A.V., Rebrik, S.P., Stryker, M.P., Miller, K.D. Adaptive filtering enhances information transmission in visual cortex. (2006) Nature. 439(7079):936-42. DOI: 10.1038/nature04519 Sharpee, T., Rust, N.C., Bialek, W. Analyzing neural responses to natural signals: maximally informative dimensions. (2004) Neural Computation. 16(2):223-50. DOI: 10.1162/089976604322742010

Awards and honors DeLano Award for Computational Biosciences (2022) Fellow of the American Physical Society (2018) McKnight Scholar (2009) Searle Scholar (2008) Sloan Research Fellowship (2008)