Model of Cortical Organization Embodying a Basis for a Theory of Information Processing and Memory Recall

Motivated by V. B. Mountcastle's organizational principle for neocortical function, and by M. E. Fisher's model of physical spin systems, we introduce a cooperative model of the cortical column incorporating an idealized substructure, the trion, which represents a localized group of neuron...

Full description

Saved in:
Bibliographic Details
Published in:Proceedings of the National Academy of Sciences - PNAS 1985-04, Vol.82 (8), p.2364-2368
Main Authors: Shaw, Gordon L., Silverman, Dennis J., Pearson, John C.
Format: Article
Language:English
Subjects:
Algorithms
Animals
Biophysics
Cats
Cerebral Cortex - anatomy & histology
Cerebral Cortex - physiology
Computer memory
Electrophysiology
Information processing
Information theory
Low noise
Mathematical models
Mathematics
Memory - physiology
Memory storage
Models, Neurological
Nerve Net - physiology
Neurons
Neurons - physiology
Citations: Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Motivated by V. B. Mountcastle's organizational principle for neocortical function, and by M. E. Fisher's model of physical spin systems, we introduce a cooperative model of the cortical column incorporating an idealized substructure, the trion, which represents a localized group of neurons. Computer studies reveal that typical networks composed of a small number of trions (with symmetric interactions) exhibit striking behavior--e.g., hundreds to thousands of quasi-stable, periodic firing patterns, any of which can be selected out and enhanced with only small changes in interaction strengths by using a Hebb-type algorithm.
ISSN:0027-8424
1091-6490
DOI:10.1073/pnas.82.8.2364