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Published September 1968 | public
Journal Article

PLEXUS—an on-line system for modeling neural networks

Abstract

A description is presented of PLEXUS, a system which enables a user to construct and specify a neural network, to analyze the output data produced by the network, and to store and retrieve networks and data from a library. The system, operated entirely from a digital display unit, interacts directly with the user and permits easy and rapid transitions between the various phases of the modeling process. PLEXUS is designed to complement neurophysiological research so that the systematic development of neural models can be coordinated with experimental work. PLEXUS networks are built up from components representing individual neurons, external stimuli, and interconnecting fibers, each component being of a relatively detailed nature. Provision is also made for the use of experimental data as input to a network. Convenient means for specification and modification of a network and extensive error-checking capabilities are provided. Data resulting from the simulation of a network may be analyzed by a variety of techniques ranging from examinations of the gross characteristics of the data to the determination of detailed statistical properties.

Additional Information

© 1968 ACM. The development of PLEXUS was supported by the National Institutes of Health (Grant GM01335) and by the Carnegie Corporation.

Additional details

Created:
August 19, 2023
Modified:
October 23, 2023