Information theoretic analysis of action potential trains. I: Analysis of correlation between two neurons
type: Item
instance of: scholarly article
title: Information theoretic analysis of action potential trains. I: Analysis of correlation between two neurons
zbMATH Open document ID: 0762.92009
DOI: 10.1007/BF00224854
author: Satoshi Yamada
author: Michio Nakashima
author: Kenji Matsumoto
author: Satoru Shiono
published in: Biological Cybernetics
publication date: 1993-05-16T00:00:00Z
Mathematics Subject Classification ID: 92C20
Mathematics Subject Classification ID: 94A15
Mathematics Subject Classification ID: 94A99
zbMATH DE Number: 166645
zbMATH Keywords: crosscorrelational method of action potential trains
zbMATH Keywords: mutual information
zbMATH Keywords: channel capacity
zbMATH Keywords: estimating synaptic connectivity
zbMATH Keywords: neuron model
zbMATH Keywords: firing probability
Wikidata QID: Q70609013
MaRDI profile type: Publication
cites work: Computation of channel capacity and rate-distortion functions
cites work: Efficiency of different neuronal codes: Information transfer calculations for three different neuronal systems
cites work: Markov dependency based on Shannon's entropy and its application to neural spike trains
cites work: Evidence, information, and surprise
cites work: On the significance of correlations among neuronal spike trains
cites work: Uncertainty analysis of human EEG spectra: A multivariate information theoretical method for the analysis of brain activity
cites work: A Mathematical Theory of Communication
full work available at URL: https://doi.org/10.1007/bf00224854
OpenAlex ID: W1233556525
DBLP publication ID: journals/bc/YamadaNMS93
description: scientific article; zbMATH DE number 166645