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This book aims to explain to electrical engineers, with the aid of electrical analogue models, how some of the structural and functional complexities of the nervous system might generate information. The author, an engineer and expert in "pattern recognition from a machine or computer viewpoint" (p v), has read widely in neurophysiological literature. He applies information theory to build models of the nervous system from variously complex performance elements and includes a brief chapter on "Learning and Memory" (chapter 11, pp 145-156). Each chapter includes a series of problems and a brief bibliography.
The author remarks in his preface that "The nervous system is a peculiar subject because, like the weather, almost everyone feels that he is an expert" (p vi). The "almost" may be understood as "with the exception of neurophysiologists." Although I sometimes question the usefulness of "interdisciplinary approaches" where the basic data and backgrounds of the disciplines
Grundfest H. Models of the Nervous System. Arch Neurol. 1969;20(3):332–333. doi:10.1001/archneur.1969.00480090120019
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