Visual Cortical Models of Orientation Tuning

Research output: Chapter in Book/Report/Conference proceedingEntry for encyclopedia/dictionary

Abstract

The primary visual cortex V1 finds local stimulus features in the neural image of the visual scene sent to V1 from the retina. There are various computational models for V1 that seek to explain its visual functions in terms of its architecture and connections. The feed-forward model simply uses the pattern of inputs to the cortex; while this model explains orientation preference, it cannot explain orientation selectivity. Recurrent excitation models account for selectivity but do not explain how there are both simple and complex cells in V1. Models that include strong corticocortical inhibition explain most of the important functions of V1, such as feature selectivity, and also the diverse populations of simple and complex cells.

Original languageEnglish (US)
Title of host publicationEncyclopedia of Neuroscience
PublisherElsevier Ltd
Pages269-275
Number of pages7
ISBN (Print)9780080450469
DOIs
StatePublished - 2010

Fingerprint

Visual Cortex
Retina
Population

Keywords

  • Complex cells
  • Egalitarian model
  • Feed-forward model
  • Inhibition
  • Lateral geniculate nucleus
  • Orientation pinwheels
  • Orientation selectivity
  • Recurrent excitation
  • Simple cells
  • Visual cortex

ASJC Scopus subject areas

  • Neuroscience(all)

Cite this

Shapley, R. (2010). Visual Cortical Models of Orientation Tuning. In Encyclopedia of Neuroscience (pp. 269-275). Elsevier Ltd. https://doi.org/10.1016/B978-008045046-9.01414-5

Visual Cortical Models of Orientation Tuning. / Shapley, R.

Encyclopedia of Neuroscience. Elsevier Ltd, 2010. p. 269-275.

Research output: Chapter in Book/Report/Conference proceedingEntry for encyclopedia/dictionary

Shapley, R 2010, Visual Cortical Models of Orientation Tuning. in Encyclopedia of Neuroscience. Elsevier Ltd, pp. 269-275. https://doi.org/10.1016/B978-008045046-9.01414-5
Shapley R. Visual Cortical Models of Orientation Tuning. In Encyclopedia of Neuroscience. Elsevier Ltd. 2010. p. 269-275 https://doi.org/10.1016/B978-008045046-9.01414-5
Shapley, R. / Visual Cortical Models of Orientation Tuning. Encyclopedia of Neuroscience. Elsevier Ltd, 2010. pp. 269-275
@inbook{cbf5e1339b1b4d57b32c5ee7e24d23f4,
title = "Visual Cortical Models of Orientation Tuning",
abstract = "The primary visual cortex V1 finds local stimulus features in the neural image of the visual scene sent to V1 from the retina. There are various computational models for V1 that seek to explain its visual functions in terms of its architecture and connections. The feed-forward model simply uses the pattern of inputs to the cortex; while this model explains orientation preference, it cannot explain orientation selectivity. Recurrent excitation models account for selectivity but do not explain how there are both simple and complex cells in V1. Models that include strong corticocortical inhibition explain most of the important functions of V1, such as feature selectivity, and also the diverse populations of simple and complex cells.",
keywords = "Complex cells, Egalitarian model, Feed-forward model, Inhibition, Lateral geniculate nucleus, Orientation pinwheels, Orientation selectivity, Recurrent excitation, Simple cells, Visual cortex",
author = "R. Shapley",
year = "2010",
doi = "10.1016/B978-008045046-9.01414-5",
language = "English (US)",
isbn = "9780080450469",
pages = "269--275",
booktitle = "Encyclopedia of Neuroscience",
publisher = "Elsevier Ltd",

}

TY - CHAP

T1 - Visual Cortical Models of Orientation Tuning

AU - Shapley, R.

PY - 2010

Y1 - 2010

N2 - The primary visual cortex V1 finds local stimulus features in the neural image of the visual scene sent to V1 from the retina. There are various computational models for V1 that seek to explain its visual functions in terms of its architecture and connections. The feed-forward model simply uses the pattern of inputs to the cortex; while this model explains orientation preference, it cannot explain orientation selectivity. Recurrent excitation models account for selectivity but do not explain how there are both simple and complex cells in V1. Models that include strong corticocortical inhibition explain most of the important functions of V1, such as feature selectivity, and also the diverse populations of simple and complex cells.

AB - The primary visual cortex V1 finds local stimulus features in the neural image of the visual scene sent to V1 from the retina. There are various computational models for V1 that seek to explain its visual functions in terms of its architecture and connections. The feed-forward model simply uses the pattern of inputs to the cortex; while this model explains orientation preference, it cannot explain orientation selectivity. Recurrent excitation models account for selectivity but do not explain how there are both simple and complex cells in V1. Models that include strong corticocortical inhibition explain most of the important functions of V1, such as feature selectivity, and also the diverse populations of simple and complex cells.

KW - Complex cells

KW - Egalitarian model

KW - Feed-forward model

KW - Inhibition

KW - Lateral geniculate nucleus

KW - Orientation pinwheels

KW - Orientation selectivity

KW - Recurrent excitation

KW - Simple cells

KW - Visual cortex

UR - http://www.scopus.com/inward/record.url?scp=84882893393&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84882893393&partnerID=8YFLogxK

U2 - 10.1016/B978-008045046-9.01414-5

DO - 10.1016/B978-008045046-9.01414-5

M3 - Entry for encyclopedia/dictionary

SN - 9780080450469

SP - 269

EP - 275

BT - Encyclopedia of Neuroscience

PB - Elsevier Ltd

ER -