Premium
MATHEMATICAL MODELS FOR THE CLUSTERED FIRING OF SINGLE CORTICAL NEURONES
Author(s) -
Thomas E. A. C.
Publication year - 1966
Publication title -
british journal of mathematical and statistical psychology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.157
H-Index - 51
eISSN - 2044-8317
pISSN - 0007-1102
DOI - 10.1111/j.2044-8317.1966.tb00365.x
Subject(s) - spike (software development) , interval (graph theory) , basis (linear algebra) , exponential function , mathematics , statistical model , function (biology) , statistics , econometrics , computer science , mathematical analysis , combinatorics , geometry , software engineering , evolutionary biology , biology
Two statistical models for the clustered firing of cortical neurones are discussed. The first model assumes that a neurone alternates between periods of inactivity and periods of hypersensitivity during which it fires. The second model assumes a definite causal relation between a spike and the succeeding one. Both models lead to a mixed exponential probability density function for the inter‐spike interval. Estimates of the parameters of the second model are obtained from published data, and are used as a basis for discussing the descriptive potential of the model.