To best interpret new sensory information, populations of sensory neurons must represent the lessons of past experience. How do they do this? The same solution to this problem is now reported in two very different sensory systems, providing a classic example of computational convergence.
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References
Girshick, A.R., Landy, M.S. & Simoncelli, E.P. Nat. Neurosci. 14, 926–932 (2011).
Fischer, B. & Peña, J.L. Nat. Neurosci. 14, 1061–1066 (2011).
Ernst, M.O. & Banks, M.S. Nature 415, 429–433 (2002).
Körding, K.P. & Wolpert, D.M. Nature 427, 244–247 (2004).
Trommershäuser, J., Maloney, L.T. & Landy, M.S. Trends Cogn. Sci. 12, 291–297 (2008).
Ma, W.J., Beck, J.M., Latham, P.E. & Pouget, A. Nat. Neurosci. 9, 1432–1438 (2006).
Weiss, Y., Simoncelli, E.P. & Adelson, E.H. Nat. Neurosci. 5, 598–604 (2002).
Ashourian, P. & Loewenstein, Y. PLoS ONE 6, e19551 (2011).
Miyazaki, M., Yamamoto, S., Uchida, S. & Kitazawa, S. Nat. Neurosci. 9, 875–877 (2006).
Pouget, A., Dayan, P. & Zemel, R. Nat. Rev. Neurosci. 1, 125–132 (2000).
Paradiso, M.A. Biol. Cybern. 58, 35–49 (1988).
Berens, P., Ecker, A.S., Gerwinn, S., Tolias, A.S. & Bethge, M. Proc. Natl. Acad. Sci. USA 108, 4423–4428 (2011).
Salinas, E. & Abbott, L.F. J. Comput. Neurosci. 1, 89–107 (1994).
Salinas, E. PLoS Biol. 4, e387 (2006).
Bonnasse-Gahot, L. & Nadal, J.P. J. Comput. Neurosci. 25, 169–187 (2008).
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Salinas, E. Prior and prejudice. Nat Neurosci 14, 943–945 (2011). https://doi.org/10.1038/nn.2883
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DOI: https://doi.org/10.1038/nn.2883
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