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119 Publications

2014 | Conference Paper | IST-REx-ID: 1708
C. Savin and S. Denève, “Spatio-temporal representations of uncertainty in spiking neural networks,” presented at the NIPS: Neural Information Processing Systems, Montreal, Canada, 2014, vol. 3, no. January, pp. 2024–2032.
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2014 | Journal Article | IST-REx-ID: 1931   OA
C. Savin and J. Triesch, “Emergence of task-dependent representations in working memory circuits,” Frontiers in Computational Neuroscience, vol. 8, no. MAY, 2014.
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2014 | Journal Article | IST-REx-ID: 2257
G. Tkacik, O. Marre, D. Amodei, E. Schneidman, W. Bialek, and M. Berry, “Searching for collective behavior in a large network of sensory neurons,” PLoS Computational Biology, vol. 10, no. 1, 2014.
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2014 | Journal Article | IST-REx-ID: 1886   OA
A. Hermundstad, J. Briguglio, M. Conte, J. Victor, V. Balasubramanian, and G. Tkacik, “Variance predicts salience in central sensory processing,” eLife, no. November, 2014.
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2013 | Journal Article | IST-REx-ID: 2277   OA
K. Simmons et al., “Transformation of stimulus correlations by the retina,” PLoS Computational Biology, vol. 9, no. 12, 2013.
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2013 | Journal Article | IST-REx-ID: 2861
V. Botella Soler, J. Oteo, J. Ros, and P. Glendinning, “Lyapunov exponent and topological entropy plateaus in piecewise linear maps,” Journal of Physics A: Mathematical and Theoretical, vol. 46, no. 12, 2013.
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2013 | Book Chapter | IST-REx-ID: 2413
M. Valderrama, V. Botella Soler, and M. Le Van Quyen, “Neuronal oscillations scale up and scale down the brain dynamics ,” in Multiscale Analysis and Nonlinear Dynamics: From Genes to the Brain, M. Meyer and Z. Pesenson, Eds. Wiley-VCH, 2013.
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2013 | Journal Article | IST-REx-ID: 2913   OA
G. Tkacik, E. Granot Atedgi, R. Segev, and E. Schneidman, “Retinal metric: a stimulus distance measure derived from population neural responses,” Physical Review Letters, vol. 110, no. 5, 2013.
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2013 | Journal Article | IST-REx-ID: 2850   OA
G. Tkacik, O. Marre, T. Mora, D. Amodei, M. Berry, and W. Bialek, “The simplest maximum entropy model for collective behavior in a neural network,” Journal of Statistical Mechanics Theory and Experiment, vol. 2013, no. 3, 2013.
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2013 | Journal Article | IST-REx-ID: 2863   OA
E. Granot Atedgi, G. Tkacik, R. Segev, and E. Schneidman, “Stimulus-dependent maximum entropy models of neural population codes,” PLoS Computational Biology, vol. 9, no. 3, 2013.
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