266 citations · 289 across the 5 of their papers we have counts for
5 papers
The Neuron as a Direct Data-Driven Controller
Jason Moore, Alexander Genkin, Magnus Tournoy +3
In the quest to model neuronal function amidst gaps in physiological data, a promising strategy is to develop a normative theory that interprets neuronal physiology as optimizing a…
Entropy and information in neural spike trains: Progress on the sampling problem
Ilya Nemenman, William Bialek, Rob de Ruyter van Steveninck
The major problem in information theoretic analysis of neural responses and other biological data is the reliable estimation of entropy--like quantities from small samples. We appl…
Statistical properties of spike trains: universal and stimulus-dependent aspects
N. Brenner, O. Agam, W. Bialek +1
Statistical properties of spike trains measured from a sensory neuron in-vivo are studied experimentally and theoretically. Experiments are performed on an identified neuron in the…
Universal Statistical Behavior of Neural Spike Trains
N. Brenner, O. Agam, W. Bialek +1
We construct a model that predicts the statistical properties of spike trains generated by a sensory neuron. The model describes the combined effects of the neuron's intrinsic prop…
Entropy and Information in Neural Spike Trains
S. P. Strong, Roland Koberle, Rob R. de Ruyter van Steveninck +1
The nervous system represents time-dependent signals in sequences of discrete action potentials or spikes, all spikes are identical so that information is carried only in the spike…