Learning in a Cortical-Like Neural System Model
F. Ventriglia
Additional contact information
F. Ventriglia: NRC, Cybernetics Institute
A chapter in Biomathematics and Related Computational Problems, 1988, pp 99-108 from Springer
Abstract:
Abstract The kinetic model of a cortical-like neural system is supplemented with some learning rules concerning the change time of long-range specific intermodular connections in the early stages of mammal life. Computer simulations show the ability of the models to reproduce the epigenetic stabilization of the neural network. An interesting phenomenon of the slowing down of rhythmic activity is exhibited.
Keywords: Neural System; Rhythmic Activity; Connection Strength; Neural Unit; Noise Induce Transition (search for similar items in EconPapers)
Date: 1988
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-94-009-2975-3_10
Ordering information: This item can be ordered from
http://www.springer.com/9789400929753
DOI: 10.1007/978-94-009-2975-3_10
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().