DOI,IST REx ID,Research Group,Title of publication
10.1371/journal.pgen.1005639.s001,9712,"NiBa,CaGu,GaTk",Other fitness models for comparison & for interacting TFBSs
10.1371/journal.pcbi.1004055.s001,9718,GaTk,Supporting information text
10.1371/journal.pcbi.1004055.s002,9773,GaTk,Evolutionary simulation code
10.1103/PhysRevLett.115.248101,1576,GaTk,Stochastic proofreading mechanism alleviates crosstalk in transcriptional regulation
10.1371/journal.pgen.1005639,1666,"NiBa,CaGu,GaTk",Dynamics of transcription factor binding site evolution
10.1371/journal.pone.0085841,3263,GaTk,Adaptation to changes in higher-order stimulus statistics in the salamander retina
10.1016/j.jtbi.2014.09.041,2028,GaTk,Characterizing spiking in noisy type II neurons
10.7554/eLife.03722,1886,GaTk,Variance predicts salience in central sensory processing
10.1103/PhysRevE.89.032701,1896,"NiBa,GaTk",Mathematical model of alternative mechanism of telomere length maintenance
10.1111/1365-2435.12207,1909,"NiBa,GaTk",The fitness costs of adaptation via phenotypic plasticity and maternal effects
10.1016/j.jtbi.2014.06.039,1928,GaTk,Evolutionary dynamics of infectious diseases in finite populations
10.3389/fncom.2014.00057,1931,GaTk,Emergence of task-dependent representations in working memory circuits
10.1103/PhysRevE.89.062809,2183,GaTk,Hierarchy and polysynchrony in an adaptive network 
10.1016/j.bpj.2014.01.014,2231,GaTk,Noise and information transmission in promoters with multiple internal states
10.1371/journal.pcbi.1003408,2257,GaTk,Searching for collective behavior in a large network of sensory neurons
null,1708,GaTk,Spatio-temporal representations of uncertainty in spiking neural networks
10.5061/dryad.246qg,9752,GaTk,Data from: Transformation of stimulus correlations by the retina
10.1002/ece3.1150,537,"NiBa,GaTk",Fitness consequences of maternal and grandmaternal effects
10.1162/NECO_a_00463,2818,GaTk,Learning quadratic receptive fields from neural responses to natural stimuli
10.1088/1742-5468/2013/03/P03011,2850,GaTk,The simplest maximum entropy model for collective behavior in a neural network