Computational models of cortical visual processing

Research output: Contribution to journalArticle

Abstract

The visual responses of neurons in the cerebral cortex were first adequately characterized in the 1960s by D. H. Hubel and T. N. Wiesel [(1962) J. Physiol. (London) 160, 106-154; (1968) J. Physiol. (London) 195, 215-243] using qualitative analyses based on simple geometric visual targets. Over the past 30 years, it has become common to consider the properties of these neurons by attempting to make formal descriptions of the transformations they execute on the visual image. Most such models have their roots in linear- systems approaches pioneered in the retina by C. Enroth-Cugell and J. R. Robson [(1966) J. Physiol. (London) 187, 517-552], but it is clear that purely linear models of cortical neurons are inadequate. We present two related models: one designed to account for the responses of simple cells in primary visual cortex (V1) and one designed to account for the responses of pattern direction selective cells in MT (or V5), an extrastriate visual area thought to be involved in the analysis of visual motion. These models share a common structure that operates in the same way on different kinds of input, and instantiate the widely held view that computational strategies are similar throughout the cerebral cortex. Implementations of these models for Macintosh microcomputers are available and can be used to explore the models' properties.

Original languageEnglish (US)
Pages (from-to)623-627
Number of pages5
JournalProceedings of the National Academy of Sciences of the United States of America
Volume93
Issue number2
DOIs
StatePublished - Jan 23 1996

Fingerprint

Neurons
Cerebral Cortex
Microcomputers
Visual Cortex
Retina
Linear Models
Direction compound

Keywords

  • cerebral cortex
  • neurons
  • vision

ASJC Scopus subject areas

  • Genetics
  • General

Cite this

@article{b95ba6d522884f1b8acd15642fe48832,
title = "Computational models of cortical visual processing",
abstract = "The visual responses of neurons in the cerebral cortex were first adequately characterized in the 1960s by D. H. Hubel and T. N. Wiesel [(1962) J. Physiol. (London) 160, 106-154; (1968) J. Physiol. (London) 195, 215-243] using qualitative analyses based on simple geometric visual targets. Over the past 30 years, it has become common to consider the properties of these neurons by attempting to make formal descriptions of the transformations they execute on the visual image. Most such models have their roots in linear- systems approaches pioneered in the retina by C. Enroth-Cugell and J. R. Robson [(1966) J. Physiol. (London) 187, 517-552], but it is clear that purely linear models of cortical neurons are inadequate. We present two related models: one designed to account for the responses of simple cells in primary visual cortex (V1) and one designed to account for the responses of pattern direction selective cells in MT (or V5), an extrastriate visual area thought to be involved in the analysis of visual motion. These models share a common structure that operates in the same way on different kinds of input, and instantiate the widely held view that computational strategies are similar throughout the cerebral cortex. Implementations of these models for Macintosh microcomputers are available and can be used to explore the models' properties.",
keywords = "cerebral cortex, neurons, vision",
author = "Heeger, {David J.} and Simoncelli, {Eero P.} and Movshon, {J. Anthony}",
year = "1996",
month = "1",
day = "23",
doi = "10.1073/pnas.93.2.623",
language = "English (US)",
volume = "93",
pages = "623--627",
journal = "Proceedings of the National Academy of Sciences of the United States of America",
issn = "0027-8424",
number = "2",

}

TY - JOUR

T1 - Computational models of cortical visual processing

AU - Heeger, David J.

AU - Simoncelli, Eero P.

AU - Movshon, J. Anthony

PY - 1996/1/23

Y1 - 1996/1/23

N2 - The visual responses of neurons in the cerebral cortex were first adequately characterized in the 1960s by D. H. Hubel and T. N. Wiesel [(1962) J. Physiol. (London) 160, 106-154; (1968) J. Physiol. (London) 195, 215-243] using qualitative analyses based on simple geometric visual targets. Over the past 30 years, it has become common to consider the properties of these neurons by attempting to make formal descriptions of the transformations they execute on the visual image. Most such models have their roots in linear- systems approaches pioneered in the retina by C. Enroth-Cugell and J. R. Robson [(1966) J. Physiol. (London) 187, 517-552], but it is clear that purely linear models of cortical neurons are inadequate. We present two related models: one designed to account for the responses of simple cells in primary visual cortex (V1) and one designed to account for the responses of pattern direction selective cells in MT (or V5), an extrastriate visual area thought to be involved in the analysis of visual motion. These models share a common structure that operates in the same way on different kinds of input, and instantiate the widely held view that computational strategies are similar throughout the cerebral cortex. Implementations of these models for Macintosh microcomputers are available and can be used to explore the models' properties.

AB - The visual responses of neurons in the cerebral cortex were first adequately characterized in the 1960s by D. H. Hubel and T. N. Wiesel [(1962) J. Physiol. (London) 160, 106-154; (1968) J. Physiol. (London) 195, 215-243] using qualitative analyses based on simple geometric visual targets. Over the past 30 years, it has become common to consider the properties of these neurons by attempting to make formal descriptions of the transformations they execute on the visual image. Most such models have their roots in linear- systems approaches pioneered in the retina by C. Enroth-Cugell and J. R. Robson [(1966) J. Physiol. (London) 187, 517-552], but it is clear that purely linear models of cortical neurons are inadequate. We present two related models: one designed to account for the responses of simple cells in primary visual cortex (V1) and one designed to account for the responses of pattern direction selective cells in MT (or V5), an extrastriate visual area thought to be involved in the analysis of visual motion. These models share a common structure that operates in the same way on different kinds of input, and instantiate the widely held view that computational strategies are similar throughout the cerebral cortex. Implementations of these models for Macintosh microcomputers are available and can be used to explore the models' properties.

KW - cerebral cortex

KW - neurons

KW - vision

UR - http://www.scopus.com/inward/record.url?scp=0030048986&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0030048986&partnerID=8YFLogxK

U2 - 10.1073/pnas.93.2.623

DO - 10.1073/pnas.93.2.623

M3 - Article

VL - 93

SP - 623

EP - 627

JO - Proceedings of the National Academy of Sciences of the United States of America

JF - Proceedings of the National Academy of Sciences of the United States of America

SN - 0027-8424

IS - 2

ER -