Spatio-temporal representations of uncertainty in spiking neural networks
C. Savin, S. Denève, in:, Neural Information Processing Systems, 2014, pp. 2024–2032.
LibreCat: https://research-explorer.ista.ac.at/record/1708

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

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

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

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

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

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

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

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

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

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

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

Neuronal oscillations scale up and scale down the brain dynamics 
M. Valderrama, V. Botella Soler, M. Le Van Quyen, in:, M. Meyer, Z. Pesenson (Eds.), Multiscale Analysis and Nonlinear Dynamics: From Genes to the Brain, Wiley-VCH, 2013.
LibreCat: https://research-explorer.ista.ac.at/record/2413
DOI: 10.1002/9783527671632.ch08

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

The simplest maximum entropy model for collective behavior in a neural network
G. Tkadik, O. Marre, T. Mora, D. Amodei, M. Berry, W. Bialek, Journal of Statistical Mechanics Theory and Experiment 2013 (2013).
LibreCat: https://research-explorer.ista.ac.at/record/2850
DOI: 10.1088/1742-5468/2013/03/P03011
arXiv: 1207.6319

A simple method for estimating the entropy of neural activity
M. Berry, G. Tkadik, J. Dubuis, O. Marre, R. Da Silveira, Journal of Statistical Mechanics Theory and Experiment 2013 (2013).
LibreCat: https://research-explorer.ista.ac.at/record/2851
DOI: 10.1088/1742-5468/2013/03/P03015

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

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

Retinal metric: a stimulus distance measure derived from population neural responses
G. Tkadik, E. Granot Atedgi, R. Segev, E. Schneidman, Physical Review Letters 110 (2013).
LibreCat: https://research-explorer.ista.ac.at/record/2913
DOI: 10.1103/PhysRevLett.110.058104

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