Information Entropy Production of Maximum Entropy Markov Chains from Spike Trains
نویسندگان
چکیده
منابع مشابه
Information Entropy Production of Maximum Entropy Markov Chains from Spike Trains
Experimental recordings of the collective activity of interacting spiking neurons exhibit 1 random behavior and memory effects, thus the stochastic process modeling the spiking activity 2 is expected to show some degree of time irreversibility. We use the thermodynamic formalism to 3 build a framework, in the context of spike train statistics, to quantify the degree of irreversibility 4 of any ...
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The nervous system represents time dependent signals in sequences of discrete, identical action potentials or spikes; information is carried only in the spike arrival times. We show how to quantify this information, in bits, free from any assumptions about which features of the spike train or input signal are most important, and we apply this approach to the analysis of experiments on a motion ...
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Information-theoretic methods have been widely used in neuroscience, in the broad effort to analyze and understand the fundamental informationprocessing tasks performed by the brain. In these studies, the entropy has been adopted as the main measure for quantifying the amount of information transmitted between neurons, via the spike trains they generate. One of the first and most important goal...
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ژورنال
عنوان ژورنال: Entropy
سال: 2018
ISSN: 1099-4300
DOI: 10.3390/e20010034