Low level modeling of the development of directionally selective microcircuits in cat striate cortex

Andrew H. Fagg, József Fiser

Research output: Contribution to Book/Report typesConference contributionpeer-review

Abstract (may include machine translation)

In this paper development of a directionally selective structure in cat striate cortex is used as a paradigm for exploring issues of biologically plausible and computationally interesting learning algorithms. A compartmental model of a "canonical microcircuit" is used to represent functional units of the cortex. Initially, the thalamus projects in a random fashion to a pair of cortical microcircuits. Through the use of a sliding threshold model of LTP and LTD, these projections develop biologically plausible, directionally selective responses to randomly moving visual stimuli Possible implications of the learning algorithm on self-organization in the developing cortex are discussed.

Original languageEnglish
Title of host publication1993 IEEE International Conference on Neural Networks, ICNN 1993
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages772-777
Number of pages6
ISBN (Electronic)0780309995
DOIs
StatePublished - 1993
Externally publishedYes
EventIEEE International Conference on Neural Networks, ICNN 1993 - San Francisco, United States
Duration: 28 Mar 19931 Apr 1993

Publication series

NameIEEE International Conference on Neural Networks - Conference Proceedings
Volume1993-January
ISSN (Print)1098-7576

Conference

ConferenceIEEE International Conference on Neural Networks, ICNN 1993
Country/TerritoryUnited States
CitySan Francisco
Period28/03/931/04/93

Fingerprint

Dive into the research topics of 'Low level modeling of the development of directionally selective microcircuits in cat striate cortex'. Together they form a unique fingerprint.

Cite this