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112 Publications

2013 | Journal Article | IST-REx-ID: 2850   OA
Tkacik, G., Marre, O., Mora, T., Amodei, D., Berry, M., & Bialek, W. (2013). The simplest maximum entropy model for collective behavior in a neural network. Journal of Statistical Mechanics Theory and Experiment, 2013(3). https://doi.org/10.1088/1742-5468/2013/03/P03011
View | DOI | Download (ext.) | arXiv
 
2013 | Journal Article | IST-REx-ID: 2913   OA
Tkacik, G., Granot Atedgi, E., Segev, R., & Schneidman, E. (2013). Retinal metric: a stimulus distance measure derived from population neural responses. Physical Review Letters, 110(5). https://doi.org/10.1103/PhysRevLett.110.058104
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2013 | Journal Article | IST-REx-ID: 2851
Berry, M., Tkacik, G., Dubuis, J., Marre, O., & Da Silveira, R. (2013). A simple method for estimating the entropy of neural activity. Journal of Statistical Mechanics Theory and Experiment, 2013(3). https://doi.org/10.1088/1742-5468/2013/03/P03015
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2013 | Journal Article | IST-REx-ID: 2818   OA
Rajan, K., Marre, O., & Tkacik, G. (2013). Learning quadratic receptive fields from neural responses to natural stimuli. Neural Computation, 25(7), 1661–1692. https://doi.org/10.1162/NECO_a_00463
View | DOI | Download (ext.) | arXiv
 
2013 | Journal Article | IST-REx-ID: 2863   OA
Granot Atedgi, E., Tkacik, G., Segev, R., & Schneidman, E. (2013). Stimulus-dependent maximum entropy models of neural population codes. PLoS Computational Biology, 9(3). https://doi.org/10.1371/journal.pcbi.1002922
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