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1931,10.3389/fncom.2014.00057,Emergence of task-dependent representations in working memory circuits
2028,10.1016/j.jtbi.2014.09.041,Characterizing spiking in noisy type II neurons
2183,10.1103/PhysRevE.89.062809,Hierarchy and polysynchrony in an adaptive network 
2231,10.1016/j.bpj.2014.01.014,Noise and information transmission in promoters with multiple internal states
2257,10.1371/journal.pcbi.1003408,Searching for collective behavior in a large network of sensory neurons
537,10.1002/ece3.1150,Fitness consequences of maternal and grandmaternal effects
9752,10.5061/dryad.246qg,Data from: Transformation of stimulus correlations by the retina
2818,10.1162/NECO_a_00463,Learning quadratic receptive fields from neural responses to natural stimuli
2850,10.1088/1742-5468/2013/03/P03011,The simplest maximum entropy model for collective behavior in a neural network
2851,10.1088/1742-5468/2013/03/P03015,A simple method for estimating the entropy of neural activity
2861,10.1088/1751-8113/46/12/125101,Lyapunov exponent and topological entropy plateaus in piecewise linear maps
2863,10.1371/journal.pcbi.1002922,Stimulus-dependent maximum entropy models of neural population codes
2913,10.1103/PhysRevLett.110.058104,Retinal metric: a stimulus distance measure derived from population neural responses
2914,10.1103/PhysRevLett.110.018701,Statistical thermodynamics of natural images
3261,10.1073/pnas.1315642110,"Positional information, in bits"
2277,10.1371/journal.pcbi.1003344,Transformation of stimulus correlations by the retina
2413,10.1002/9783527671632.ch08,Neuronal oscillations scale up and scale down the brain dynamics 
499,10.1126/science.1229858,Dynamic persistence of antibiotic-stressed mycobacteria
3262,10.1103/PhysRevE.85.041903,Optimizing information flow in small genetic networks. III. A self-interacting gene
3274,10.1016/j.enganabound.2011.12.014,A 2.5D-Fourier-BEM model for vibrations in a tunnel running through layered anisotropic soil