Variance predicts salience in central sensory processing
A. Hermundstad, J. Briguglio, M. Conte, J. Victor, V. Balasubramanian, G. Tkadik, ELife (2014).

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).

The fitness costs of adaptation via phenotypic plasticity and maternal effects
T. Ezard, R. Prizak, R. Hoyle, Functional Ecology 28 (2014) 693–701.

Evolutionary dynamics of infectious diseases in finite populations
J. Humplik, A. Hill, M. Nowak, Journal of Theoretical Biology 360 (2014) 149–162.

Emergence of task-dependent representations in working memory circuits
C. Savin, J. Triesch, Frontiers in Computational Neuroscience 8 (2014).

Characterizing spiking in noisy type II neurons
K. Bodova, D. Paydarfar, D. Forger,  Journal of Theoretical Biology 365 (2014) 40–54.

Hierarchy and polysynchrony in an adaptive network 
V. Botella Soler, P. Glendinning, Physical Review E Statistical Nonlinear and Soft Matter Physics 89 (2014).

Noise and information transmission in promoters with multiple internal states
G. Rieckh, G. Tkadik, Biophysical Journal 106 (2014) 1194–1204.

Adaptation to changes in higher-order stimulus statistics in the salamander retina
G. Tkadik, A. Ghosh, E. Schneidman, R. Segev, PLoS One 9 (2014).

Fitness consequences of maternal and grandmaternal effects
R. Prizak, T. Ezard, R. Hoyle, Ecology and Evolution 4 (2014) 3139–3145.

Data from: Transformation of stimulus correlations by the retina
K. Simmons, J. Prentice, G. Tkadik, J. Homann, H. Yee, S. Palmer, P. Nelson, V. Balasubramanian, (2014).

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).

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.

Learning quadratic receptive fields from neural responses to natural stimuli
K. Rajan, O. Marre, G. Tkadik, Neural Computation 25 (2013) 1661–1692.

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).

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).

Stimulus-dependent maximum entropy models of neural population codes
E. Granot Atedgi, G. Tkadik, R. Segev, E. Schneidman, PLoS Computational Biology 9 (2013).

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).

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).

Positional information, in bits
J. Dubuis, G. Tkadik, E. Wieschaus, T. Gregor, W. Bialek, PNAS 110 (2013) 16301–16308.