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Stochastic models for neuronal firing

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cris.author.scopus-author-id7402912519
cris.author.scopus-author-id16526097100
cris.author.scopus-author-id7003633002
dc.contributor.authorSrinivasan, S. K.
dc.contributor.authorRajamannar, G.
dc.contributor.authorRangan, A.
dc.date.accessioned2023-09-20T07:01:55Z
dc.date.available2023-09-20T07:01:55Z
dc.date.issued01-05-1971
dc.description.abstractThe mechanism of formation of neuronal spike trains on the basis of selective interaction between two processes called excitatory and inhibitory processes, is studied. The techniques of stationary point processes are used to study the delay and deletion models proposed by Ten Hoopen and Reuver. These models are further generalised by associating a random life time to the inhibitory events. The probability frequency function governing the interval between two consecutive response yielding excitatory events, is obtained for these models. © 1971 Springer-Verlag.
dc.identifier.doi10.1007/BF00291120
dc.identifier.issn3401200
dc.identifier.pmid5090380
dc.identifier.scopus2-s2.0-0015059388
dc.identifier.urihttps://apicris.irins.org/handle/IITM2023/64380
dc.relation.ispartofseriesKybernetik
dc.sourceKybernetik
dc.titleStochastic models for neuronal firing
dc.typeJournal
dspace.entity.typePublication
oaire.citation.endPage193
oaire.citation.issue5
oaire.citation.startPage188
oaire.citation.volume8
person.affiliation.cityChennai
person.affiliation.id60025757
person.affiliation.nameIndian Institute of Technology Madras
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