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REVIEW ARTICLE: Neuronal coding and spiking randomness
Author(s) -
Kostal Lubomir,
Lansky Petr,
Rospars JeanPierre
Publication year - 2007
Publication title -
european journal of neuroscience
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.346
H-Index - 206
eISSN - 1460-9568
pISSN - 0953-816X
DOI - 10.1111/j.1460-9568.2007.05880.x
Subject(s) - randomness , computer science , coding (social sciences) , spike (software development) , neural coding , spike train , information transfer , artificial intelligence , algorithm , mathematics , statistics , telecommunications , software engineering
Fast information transfer in neuronal systems rests on series of action potentials, the spike trains, conducted along axons. Methods that compare spike trains are crucial for characterizing different neuronal coding schemes. In this paper we review recent results on the notion of spiking randomness, and discuss its properties with respect to the rate and temporal coding schemes. This method is compared with other widely used characteristics of spiking activity, namely the variability of interspike intervals, and it is shown that randomness and variability provide two distinct views. We demonstrate that estimation of spiking randomness from simulated and experimental data is capable of capturing characteristics that would otherwise be difficult to obtain with conventional methods.