Mixture estimation and the neurophysiological quantal hypothesis.

B R Smith

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PubMed · 8369397

Mixture estimation and the neurophysiological quantal hypothesis.

B R Smith

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Abstract

Quantal release models provide a mechanistic description of the process by which neurotransmitter is released from the nerve cell. The usual such model assumes that the quantity of transmitter released after nerve depolarization follows a finite mixture distribution with an unknown number of components, and with constraints on component means and variances. General procedures for estimating the dimension of a finite mixture model are discussed, and applied to the analysis of a quantal release data set.

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Action Potentials Animals Astacoidea Electric Stimulation Mathematics Models, Neurological Models, Statistical Neurology Neuromuscular Junction Probability Synapses Journal Article Research Support, Non-U.S. Gov't

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B R Smith. 1993. Mixture estimation and the neurophysiological quantal hypothesis.. https://pubmed.ncbi.nlm.nih.gov/8369397/

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