Literature DB >> 17602214

Whether radial receptive field organization of the fourth extrastriate crescent (area V4A) gives special advantage for analysis of the optic flow. Comparison with the first crescent (area V2).

E V Levichkina1, A A Loshkarev, E I Rodionova, E P Popova, I N Pigarev.   

Abstract

Recently, elongated comet-shaped receptive fields were discovered in the fourth extrastriate crescent (area V4A) of cats and monkeys. It was shown that the long axes of these receptive fields were oriented radially toward the centre of the retina. Such unusual "radial" organization of this extrastriate area led to the assumption that these neurons may contribute to the analysis of optic flow. To investigate this assumption we recorded activity of neurons in the V4A of cats during real motion in depth toward or away from a stationary visual scene. Responses of neurons in area V4A were compared with activity of neurons in area V2 under similar conditions of stimulation. Area V2 is known to be sensitive to motion but does not have radial organization. It was found that a substantial number of visual neurons in both areas did not fire at all when cats were exposed to motion in depth. Nevertheless, neurons with selective activation to direction of motion in depth were identified, but comparable numbers were found in both areas studied. We conclude that radial organization of the fourth extrastriate crescent does not provide any special advantage for the analysis of optic flow information.

Entities:  

Mesh:

Year:  2007        PMID: 17602214     DOI: 10.1007/s00221-007-0980-6

Source DB:  PubMed          Journal:  Exp Brain Res        ISSN: 0014-4819            Impact factor:   1.972


  19 in total

Review 1.  Neural analysis of visual information during locomotion.

Authors:  H Sherk; G A Fowler
Journal:  Prog Brain Res       Date:  2001       Impact factor: 2.453

2.  Functional sub-regions for optic flow processing in the posteromedial lateral suprasylvian cortex of the cat.

Authors:  O Brosseau-Lachaine; J Faubert; C Casanova
Journal:  Cereb Cortex       Date:  2001-10       Impact factor: 5.357

Review 3.  How the brain encodes the order of letters in a printed word: the SERIOL model and selective literature review.

Authors:  C Whitney
Journal:  Psychon Bull Rev       Date:  2001-06

4.  Neurons with radial receptive fields in monkey area V4A: evidence of a subdivision of prelunate gyrus based on neuronal response properties.

Authors:  Ivan N Pigarev; Hans-Christoph Nothdurft; Sabine Kastner
Journal:  Exp Brain Res       Date:  2002-05-28       Impact factor: 1.972

5.  Parametric decomposition of optic flow by humans.

Authors:  José F Barraza; Norberto M Grzywacz
Journal:  Vision Res       Date:  2005-09       Impact factor: 1.886

6.  Two visual areas located in the middle suprasylvian gyrus (cytoarchitectonic field 7) of the cat's cortex.

Authors:  I N Pigarev; E I Rodionova
Journal:  Neuroscience       Date:  1998-08       Impact factor: 3.590

7.  A reversible system for chronic recordings in macaque monkeys.

Authors:  I N Pigarev; H C Nothdurft; S Kastner
Journal:  J Neurosci Methods       Date:  1997-12-01       Impact factor: 2.390

8.  Centrifugal organization of direction preferences in the cat's lateral suprasylvian visual cortex and its relation to flow field processing.

Authors:  J P Rauschecker; M W von Grünau; C Poulin
Journal:  J Neurosci       Date:  1987-04       Impact factor: 6.167

9.  Ethical principles for the maintenance and use of animals in neuroscience research.

Authors:  M Zimmermann
Journal:  Neurosci Lett       Date:  1987-01-02       Impact factor: 3.046

10.  Neuronal responses in the visual cortex of awake cats to stationary and moving targets.

Authors:  H Noda; R B Freeman; B Gies; O D Creutzfeldt
Journal:  Exp Brain Res       Date:  1971-05-26       Impact factor: 1.972

View more
  2 in total

1.  Distance modulated neuronal activity in the cortical visual areas of cats.

Authors:  I N Pigarev; E V Levichkina
Journal:  Exp Brain Res       Date:  2011-08-05       Impact factor: 1.972

2.  A neurophysiologically plausible population code model for feature integration explains visual crowding.

Authors:  Ronald van den Berg; Jos B T M Roerdink; Frans W Cornelissen
Journal:  PLoS Comput Biol       Date:  2010-01-22       Impact factor: 4.475

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.