Literature DB >> 8452889

Information theoretic analysis of action potential trains. I. Analysis of correlation between two neurons.

S Yamada1, M Nakashima, K Matsumoto, S Shiono.   

Abstract

A crosscorrelational method of action potential trains has been proposed, based on information theory. Two information theoretic quantities, mutual information and channel capacity, were calculated from a pair of action potential trains for detecting a crosscorrelation and estimating synaptic connectivity. The method was compared with conventional ones, using action potential trains obtained by the simulation of a neuron model. This method was shown to have the advantages to more easily find a weak but significant crosscorrelation and to give better estimation of synaptic connectivity independent of the firing probability of a presynaptic neuron.

Mesh:

Year:  1993        PMID: 8452889     DOI: 10.1007/bf00224854

Source DB:  PubMed          Journal:  Biol Cybern        ISSN: 0340-1200            Impact factor:   2.086


  18 in total

1.  448-detector optical recording system: development and application to Aplysia gill-withdrawal reflex.

Authors:  M Nakashima; S Yamada; S Shiono; M Maeda; F Satoh
Journal:  IEEE Trans Biomed Eng       Date:  1992-01       Impact factor: 4.538

2.  Identification of connectivity in neural networks.

Authors:  X W Yang; S A Shamma
Journal:  Biophys J       Date:  1990-05       Impact factor: 4.033

3.  Dynamics of neuronal firing correlation: modulation of "effective connectivity".

Authors:  A M Aertsen; G L Gerstein; M K Habib; G Palm
Journal:  J Neurophysiol       Date:  1989-05       Impact factor: 2.714

4.  Uncertainty analysis of human EEG spectra: a multivariate information theoretical method for the analysis of brain activity.

Authors:  W Reinke; V Diekmann
Journal:  Biol Cybern       Date:  1987       Impact factor: 2.086

5.  Information modeling and analysis of event related potentials.

Authors:  W J Williams; H Shevrin; R E Marshall
Journal:  IEEE Trans Biomed Eng       Date:  1987-12       Impact factor: 4.538

6.  On the significance of correlations among neuronal spike trains.

Authors:  G Palm; A M Aertsen; G L Gerstein
Journal:  Biol Cybern       Date:  1988       Impact factor: 2.086

7.  Neuronal spike trains and stochastic point processes. I. The single spike train.

Authors:  D H Perkel; G L Gerstein; G P Moore
Journal:  Biophys J       Date:  1967-07       Impact factor: 4.033

Review 8.  Optical monitoring of membrane potential: methods of multisite optical measurement.

Authors:  L B Cohen; S Lesher
Journal:  Soc Gen Physiol Ser       Date:  1986

9.  Temporal encoding of two-dimensional patterns by single units in primate inferior temporal cortex. III. Information theoretic analysis.

Authors:  L M Optican; B J Richmond
Journal:  J Neurophysiol       Date:  1987-01       Impact factor: 2.714

10.  Evidence, information, and surprise.

Authors:  G Palm
Journal:  Biol Cybern       Date:  1981       Impact factor: 2.086

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  2 in total

1.  Detecting multineuronal temporal patterns in parallel spike trains.

Authors:  Kai S Gansel; Wolf Singer
Journal:  Front Neuroinform       Date:  2012-05-22       Impact factor: 4.081

2.  Statistical Approaches for the Analysis of Dependency Among Neurons Under Noise.

Authors:  Deniz Gençağa; Sevgi Şengül Ayan; Hajar Farnoudkia; Serdar Okuyucu
Journal:  Entropy (Basel)       Date:  2020-03-28       Impact factor: 2.524

  2 in total

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