A model of direction selectivity in cortical simple cells based on lagged thalamic input and intracortical feedback

G. E. La Cara, M. Ritrovato, M. Ursino

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

A model of a single hypercolumn in the primary visual cortex for the analysis of simple cell orientation and direction selectivity is proposed. The model embodies a feedforward mechanism, based on the convergence of lagged and non-lagged inputs onto a cortical cell, to reproduce the spatial and temporal structure of the receptive field, and lateral (inhibitory and excitatory) connections within the hypercolumn. It explains both orientation and direction selectivity of simple cells. The response properties of the two types of inputs are described by the product of linear spatial and temporal response functions. To characterize the temporal response properties of lagged and non lagged neurons we have used pure time delays. The lateral connections are arranged in a push-pull fashion. Simulation results show that the model is able to mimic several experimental data. In particular, it is able to reproduce the response of simple cortical cells, with space-time inseparable receptive field, characterized by a strong direction selectivity.

Original languageEnglish
Title of host publicationAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
EditorsR.S. Leder
Pages1889-1892
Number of pages4
Volume2
Publication statusPublished - 2003
EventA New Beginning for Human Health: Proceddings of the 25th Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Cancun, Mexico
Duration: Sep 17 2003Sep 21 2003

Other

OtherA New Beginning for Human Health: Proceddings of the 25th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Country/TerritoryMexico
CityCancun
Period9/17/039/21/03

Keywords

  • Direction selectivity
  • Receptive field
  • Simple cells
  • Visual cortex

ASJC Scopus subject areas

  • Bioengineering

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