An automaton analysis approach to the study of neural nets

✍ Scribed by Y.H. Chuang; Norman R. Bell; Ralph W. Stacy

• Publisher: Elsevier Science
• Year: 1967
• Tongue: English
• Weight: 758 KB
• Volume: 1
• Category: Article
• ISSN: 0010-4809
• DOI: 10.1016/0010-4809(67)90015-8

✦ Synopsis

Neural firing is herein considered to be a sequence of changes of state of the neuron. Thus, a state diagram analysis of the neuron or of neural nets would seem to be a more natural procedure to follow than would simple logic element analysis.

This paper describes a theoretical analysis of the individual neuron, and compares this with both theoretical and experimental analyses of an artificial neuron (a neuromime slightly modified from the Harmon circuit to provide more synaptic actions). The analysis then proceeds to include simple neural networks. The result of such analysis is in the form of a set of state transition tables, from which actual output firing patterns can be obtained.

In the experimental phases of this work, input patterns were produced and output was monitored with a LINC digital computer. This experimental technique may be developed to greater sophistication for future experiments.