Literature DB >> 3756511

Global visual processing in the monkey superior colliculus.

D B Bender, R M Davidson.   

Abstract

Neurons were recorded in the superficial layers of the superior colliculus in anesthetized monkeys. As classically described, cells were non-selective for target direction and speed when the target moved through an empty visual field. However, these same cells were sensitive to target direction and speed relative to a textured moving background. The target's response was suppressed when its direction and speed were similar to that of the background, irrespective of the absolute direction of background movement.

Mesh:

Year:  1986        PMID: 3756511     DOI: 10.1016/0006-8993(86)90092-2

Source DB:  PubMed          Journal:  Brain Res        ISSN: 0006-8993            Impact factor:   3.252


  7 in total

1.  Distribution of corticotectal cells in macaque.

Authors:  T M Lock; J S Baizer; D B Bender
Journal:  Exp Brain Res       Date:  2003-07-08       Impact factor: 1.972

2.  Effect of corticotectal tract lesions on relative motion selectivity in the monkey superior colliculus.

Authors:  R M Davidson; T J Joly; D B Bender
Journal:  Exp Brain Res       Date:  1992       Impact factor: 1.972

3.  A comparison of visual responses to object- and ego-motion in the macaque superior temporal polysensory area.

Authors:  J K Hietanen; D I Perrett
Journal:  Exp Brain Res       Date:  1996-03       Impact factor: 1.972

4.  Deep tectal cells in pigeons respond to kinematograms.

Authors:  B J Frost; P Cavanagh; B Morgan
Journal:  J Comp Physiol A       Date:  1988-04       Impact factor: 1.836

5.  Visually guided saccades and acoustic distractors: no evidence for the remote distractor effect or global effect.

Authors:  Benjamin Tari; Luc Tremblay; Matthew Heath
Journal:  Exp Brain Res       Date:  2020-10-24       Impact factor: 1.972

Review 6.  Neuronal mechanisms of visual stability.

Authors:  Robert H Wurtz
Journal:  Vision Res       Date:  2008-05-29       Impact factor: 1.886

7.  A Neural Network Model With Gap Junction for Topological Detection.

Authors:  Chaoming Wang; Risheng Lian; Xingsi Dong; Yuanyuan Mi; Si Wu
Journal:  Front Comput Neurosci       Date:  2020-10-14       Impact factor: 2.380

  7 in total

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