NEURAL MODELING AND MODEL IDENTIFICATION.

Arthur C. Sanderson, Robert J. Peterka

Research output: Contribution to journalArticle

5 Scopus citations

Abstract

Neural modeling addresses itself to the quantitative interpretation of neurophysiological experiments, to the assimilation of diverse experimental results into unified theories, and to the investigation of mechanisms of information-processing units, codes, and networks and their relation to capabilities of living systems. This review emphasizes neural models which can be tested by physiological or psychophysical experiments and includes the identification of model parameters based on experimental measurements. An overview of neural firing models, neural interaction models, neural variability and coding, design of input-output experiments for model identification, and description of small network interactions through multiunit and gross potential recording is included.

Original languageEnglish (US)
Pages (from-to)237-309
Number of pages73
JournalCritical Reviews in Biomedical Engineering
Volume12
Issue number3
StatePublished - Jan 1 1985

ASJC Scopus subject areas

  • Biomedical Engineering

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