TY - JOUR
T1 - NEURAL MODELING AND MODEL IDENTIFICATION.
AU - Sanderson, Arthur C.
AU - Peterka, Robert J.
PY - 1985/1/1
Y1 - 1985/1/1
N2 - 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.
AB - 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.
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M3 - Article
C2 - 2986906
AN - SCOPUS:0021902497
VL - 12
SP - 237
EP - 309
JO - Critical Reviews in Biomedical Engineering
JF - Critical Reviews in Biomedical Engineering
SN - 0278-940X
IS - 3
ER -