Hermundstad A, Briguglio J, Conte M, Victor J, Balasubramanian V, Tkadik G. 2014. Variance predicts salience in central sensory processing. eLife. (November), e03722.
LibreCat: https://research-explorer.ista.ac.at/record/1886
DOI: 10.7554/eLife.03722

Kollár R, Bodova K, Nosek J, Tomáska d. 2014. Mathematical model of alternative mechanism of telomere length maintenance. Physical Review E Statistical Nonlinear and Soft Matter Physics. 89(3), 032701.
LibreCat: https://research-explorer.ista.ac.at/record/1896
DOI: 10.1103/PhysRevE.89.032701

Ezard T, Prizak R, Hoyle R. 2014. The fitness costs of adaptation via phenotypic plasticity and maternal effects. Functional Ecology. 28(3), 693–701.
LibreCat: https://research-explorer.ista.ac.at/record/1909
DOI: 10.1111/1365-2435.12207

Humplik J, Hill A, Nowak M. 2014. Evolutionary dynamics of infectious diseases in finite populations. Journal of Theoretical Biology. 360, 149–162.
LibreCat: https://research-explorer.ista.ac.at/record/1928
DOI: 10.1016/j.jtbi.2014.06.039

Savin C, Triesch J. 2014. Emergence of task-dependent representations in working memory circuits. Frontiers in Computational Neuroscience. 8(MAY), 57.
LibreCat: https://research-explorer.ista.ac.at/record/1931
DOI: 10.3389/fncom.2014.00057

Bodova K, Paydarfar D, Forger D. 2014. Characterizing spiking in noisy type II neurons.  Journal of Theoretical Biology. 365, 40–54.
LibreCat: https://research-explorer.ista.ac.at/record/2028
DOI: 10.1016/j.jtbi.2014.09.041

Botella Soler V, Glendinning P. 2014. Hierarchy and polysynchrony in an adaptive network . Physical Review E Statistical Nonlinear and Soft Matter Physics. 89(6), 062809.
LibreCat: https://research-explorer.ista.ac.at/record/2183
DOI: 10.1103/PhysRevE.89.062809

Rieckh G, Tkadik G. 2014. Noise and information transmission in promoters with multiple internal states. Biophysical Journal. 106(5), 1194–1204.
LibreCat: https://research-explorer.ista.ac.at/record/2231
DOI: 10.1016/j.bpj.2014.01.014
PMID: 24606943

Tkadik G, Ghosh A, Schneidman E, Segev R. 2014. Adaptation to changes in higher-order stimulus statistics in the salamander retina. PLoS One. 9(1), e85841.
LibreCat: https://research-explorer.ista.ac.at/record/3263
DOI: 10.1371/journal.pone.0085841

Prizak R, Ezard T, Hoyle R. 2014. Fitness consequences of maternal and grandmaternal effects. Ecology and Evolution. 4(15), 3139–3145.
LibreCat: https://research-explorer.ista.ac.at/record/537
DOI: 10.1002/ece3.1150

Simmons K, Prentice J, Tkadik G, Homann J, Yee H, Palmer S, Nelson P, Balasubramanian V. 2014. Data from: Transformation of stimulus correlations by the retina, Dryad,10.5061/dryad.246qg .
LibreCat: https://research-explorer.ista.ac.at/record/9752
DOI: 10.5061/dryad.246qg

Tkadik G, Marre O, Amodei D, Schneidman E, Bialek W, Berry M. 2014. Searching for collective behavior in a large network of sensory neurons. PLoS Computational Biology. 10(1), e1003408.
LibreCat: https://research-explorer.ista.ac.at/record/2257
DOI: 10.1371/journal.pcbi.1003408

Valderrama M, Botella Soler V, Le Van Quyen M. 2013.Neuronal oscillations scale up and scale down the brain dynamics . In: Multiscale Analysis and Nonlinear Dynamics: From Genes to the Brain. Reviews of Nonlinear Dynamics and Complexity, .
LibreCat: https://research-explorer.ista.ac.at/record/2413
DOI: 10.1002/9783527671632.ch08

Rajan K, Marre O, Tkadik G. 2013. Learning quadratic receptive fields from neural responses to natural stimuli. Neural Computation. 25(7), 1661–1692.
LibreCat: https://research-explorer.ista.ac.at/record/2818
DOI: 10.1162/NECO_a_00463
arXiv: 1209.0121

Tkadik 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), 011.
LibreCat: https://research-explorer.ista.ac.at/record/2850
DOI: 10.1088/1742-5468/2013/03/P03011
arXiv: 1207.6319

Berry M, Tkadik 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), 015.
LibreCat: https://research-explorer.ista.ac.at/record/2851
DOI: 10.1088/1742-5468/2013/03/P03015

Granot Atedgi E, Tkadik G, Segev R, Schneidman E. 2013. Stimulus-dependent maximum entropy models of neural population codes. PLoS Computational Biology. 9(3), e1002922.
LibreCat: https://research-explorer.ista.ac.at/record/2863
DOI: 10.1371/journal.pcbi.1002922

Botella Soler V, Oteo J, Ros J, Glendinning P. 2013. Lyapunov exponent and topological entropy plateaus in piecewise linear maps. Journal of Physics A: Mathematical and Theoretical. 46(12), 125101.
LibreCat: https://research-explorer.ista.ac.at/record/2861
DOI: 10.1088/1751-8113/46/12/125101

Tkadik 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), 058104.
LibreCat: https://research-explorer.ista.ac.at/record/2913
DOI: 10.1103/PhysRevLett.110.058104

Dubuis J, Tkadik G, Wieschaus E, Gregor T, Bialek W. 2013. Positional information, in bits. PNAS. 110(41), 16301–16308.
LibreCat: https://research-explorer.ista.ac.at/record/3261
DOI: 10.1073/pnas.1315642110
PMID: 24089448