Title

Compound Net Model of the Cerebral Cortex

Date

1969

Index Abstract

Not Available

Photo Quality

Not Needed

Report Number

AMRL TR 68-189

Creator

Harth, E. M.

Csermely, T. J.

Lindsay, R. D.

Beek, B.

Corporate Author

Syracuse University

Laboratory

Aerospace Medical Research Laboratories

Extent

72

Identifier

AD0692719

Access Rights

This document has been approved for public release and sale; its distribution is unlimited

Distribution Classification

1

Contract

F33615-67-C-1413

DoD Project

7232

DoD Task

723205

DTIC Record Exists

No

Distribution Change Authority Correspondence

None

Distribution Conflict

No

Abstract

The central nervous system is believed to consist of a network of neurons, combining in its structure genetically determined design with probabilistic features. A model is described in which probabilistic nets are used as building blocks from which systems can be assembled, approximating for example the interaction between sensory projection areas in the cortex with cortical association areas. The operation of such compound nets is based on the dynamics of single probabilistic nets and on a set of assumptions concerning the coding of sensory information into the language of central neuronal activity. Data describing the dynamics of simple nets are presented. It is found that various types of information processing can be explained by applying the hypothesis of synaptic facilitation to compound nets. Sustained neural activity is investigated, particularly the problem of ergodicity. Highly non-ergodic types of reverberations were found both theoretically and by computer simulation for certain types of nets.

Report Availability

Full text available

Date Issued

1969-06

Provenance

RAF Centre of Aviation Medicine

Type

report

Format

1 online resource