A statistical neural field approach to orientation selectivity

Péter Adorján, György Barna, Péter Érdi, Klaus Obermayer

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

We apply the recently proposed statistical neural field approach [4.3] for modeling orientation selectivity in the primary visual cortex. Firstly, we demonstrate that the neural field approach is a powerful tool for modeling neural structures with specific lateral connections. Secondly, we test in a biologically more plausible way our hypothesis [1] that orientation bias and tuning in macaque striate cortex can be generated by the same lateral interactions. The spiking neural model shows that (i) contrast invariant tuning emerges and (ii) the tuning dynamics of the membrane potential and the firing rate are in accordance with observations which until now seemed to be contradictory [2,5-7].

Original languageEnglish
Pages (from-to)313-318
Number of pages6
JournalNeurocomputing
Volume26-27
DOIs
Publication statusPublished - Jun 1 1999

Keywords

  • Orientation selectivity
  • Recurrent connections
  • Statistical neural field model
  • Tuning dynamics

ASJC Scopus subject areas

  • Computer Science Applications
  • Cognitive Neuroscience
  • Artificial Intelligence

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