Computational Neurobiology Laboratory
Sharpee, T. O. (2017) Optimizing neural information capacity through discretization, Neuron, 94(5) 954-960, 2017
Rowekamp, R. J. Sharpee, T. O. (2017) Cross-orientation suppression in visual area V2, Nat Commun, 8:15739, 2017
Sharpee, T. O. (2016) lasticity to the rescue, Neuron, 92(5): 935-936, 2016
Kuczala, A. Sharpee, T. O. (2016) Eigenvalue spectra of large correlated random matrices, Physical Review E, 2016 (PDF)
Sharpee, T. O. (2016) How invariant feature selectivity is achieved in cortex, Front Synaptic Neurosci., 23:8:26, 2016
Sharpee, T. O. (2016) Taking a close look at electrosensing, eLife, 29:5, 2016
Zhang, Y. Sharpee, T. O. (2016) A robust feedforward model of the olfactory system, PLoS Computational Biology, 12(4):e1004850, 2016
Aljadeff, J. Renfrew, D. Vegue, M. Sharpee, T. O. (2016) Low-dimensional dynamics of structured random networks, Phys. Rev. E, 93, 022302, 2016
Calhoun, A. J. Tong, A. Pokala, N. Fitzpatrick, J. A. Sharpee, T .O. Chalasani, S. H. (2015) Neural mechanisms for evaluating environmental variability in Carnorhabditis elegans, Neuron, 86(2), 428-441, 2015
Kastner, D. B. Baccus, S. A. Sharpee, T.O. (2015) Critical and maximally informative encoding between neural populations in the retina, PNAS, 112, 8 pp.2533-2538.
Aljadeff, J. Stern, M. Sharpee, T. (2015) Transition to Chaos in Random Networks with Cell-Type-Specific Connectivity, Physical Review Letters, 114, 088101.
Calhoun, A. Chalasani, S. Sharpee, T. O. (2014) Maximally informative foraging by Caenorhabditis elegans, eLife, e04220.
Sharpee, T. O. (2014) Toward Functional Classification of Neuronal Types, Neuron, 83(6) pp.1329-1334.
Morris, R. Sancho-Martinez , I. Sharpee, T. O. Izpisua Belmonte, J. C. (2014) Mathematical approaches to modeling development and reprogramming, PNAS, 111(14), pp.5076-5082.
Sharpee, T. O. (2013) Computational Identification of Receptive Fields, Annual Review of Neuroscience, 36, pp.103-20.
A. Nandy, T.O. Sharpee, J. H. Reynolds, and J. Mitchel, (2013) "The fine structure of shape tuning in area V4", Neuron, 78(6), pp.1102-1115.
J. Jeanne, T.O. Sharpee and T.Q. Gentner, (2013) "Associative learning enhances population coding by inverting inter-neuronal correlation patterns", Neuron, 78 (2), pp.352-363.
T.O. Sharpee, M. Kouh, and J. H. Reynolds, (2013) "Trade-off between curvature tuning and position invariance in visual area V4", PNAS, 110 (28), pp. 11618-23.
J. Kaardal, J.D. Fitzgerald, M. J. Berry, and T.O. Sharpee, (2013) "Identifying functional bases for multidimensional neural computations", Neural Computation, 25 (7), pp.1870-1890.
M. Eickenberg, R.J. Rowekamp, M. Kouh, and T.O. Sharpee, (2012) "Characterizing Responses of Translation-Invariant Neurons to Natural Stimuli: Maximally Informative Invariant Dimensions", Neural Computation, 24 (9), pp.2384-2421.
J.D. Fitzgerald, R. J. Rowekamp, L.C. Sincich and T.O. Sharpee, (2011) "Second order dimensionality reduction using minimum and maximum mutual information models", PLoS Computational Biology, 7(10): e1002249
J.D. Fitzgerald, L.C. Sincich and T.O. Sharpee, (2011) "Minimal models of multidimensional computations", PLoS Computational Biology, 7(3): e1001111.
J. Jeanne, J. Thompson, T.O. Sharpee, and T. Gentner, (2011) "Emergence of learned categorical representations within an auditory forebrain circuit", Journal of Neuroscience, 31 (7), pp.2595-2606.
K. Imaizumi, N. Priebe, T.O. Sharpee, S. Cheung, and C.E. Schreiner, (2010) "Encoding of Temporal Information by Timing, Rate, and Place in Cat Auditory Cortex", PLoS ONE 5(7): e11531.
J. D. Fitzgerald and T. O. Sharpee, (2009) "Maximally informative pairwise interactions in networks", Phys. Rev. E, 80, 031914.
Y. Liu, C. F. Stevens, and T. O. Sharpee, (2009) "Predictable irregularities in retinal receptive fields", PNAS, 38, 16499-16504.
M. J. Kouh and T. O. Sharpee, (2009) "Estimating linear-nonlinear neural models using Renyi divergences", Network: Computation in Neural Systems, 20(2): 49-68.
L. C. Sincich, J. C. Horton, and T. O. Sharpee, (2009) "Preserving information in neural transmission", Journal of Neuroscience, 29(19), 6207-6216.
T.O. Sharpee and J.D. Victor, (2009) "Contextual modulation of V1 receptive fields depends on their spatial symmetry", Journal of Computational Neuroscience, 26(2): pp. 203-218.
T. O. Sharpee, K. D. Miller, and M. P. Stryker, (2008) "On the importance of the static nonlinearity in estimating spatiotemporal neural filters with natural stimuli", Journal of Neurophysiology 99(5): 2496-2509.
T. Sharpee and W. Bialek, (2007) "Neural decision boundaries for maximal information transmission", PLoS ONE 2(7): e646.
T. Sharpee, (2007) "Comparison of information and variance optimization strategies for characterizing neural feature selectivity", Statistics in Medicine 26 (21), pp. 4009-4031.
T. Sharpee, H. Sugihara, A. Kurgansky, S. Rebrik, M.P. Stryker, and K.D. Miller, (2006) Adaptive filtering enhances information transmission in visual cortex, Nature 439, pp. 936-942.
T. Sharpee, N. C. Rust, and W. Bialek, (2004) Analyzing neural responses to natural signals: Maximally informative dimensions, Neural Computation, 16 (2), pp. 223-250 2004.
M.I. Dykman, T. Sharpee , P.M. Platzman, (2001) "Enhancement of tunneling from a correlated 2D electron system by a many-electron Mauer-type recoil in a magnetic field", Phys. Rev. Lett. 86, pp. 2408-2411 (2001).
T. Barabash-Sharpee, M.I. Dykman, P.M. Platzman, (2000) Tunneling transverse to magnetic field, and its occurence in correlated 2D electron systems, Phys. Rev. Lett. 84 , pp. 2227-2230.
MS, Physics, Ukraine National University, Kiev, Ukraine
PhD, Physics, Michigan State University
Sloan-Swartz Postdoctoral Fellow, University of California, San Francisco