Literature DB >> 8979836

Comparisons of cross-modality integration in midbrain and cortex.

B E Stein1, M T Wallace.   

Abstract

Multisensory neurons are abundant in the superior colliculus and anterior ectosylvian cortex of the cat. Despite the fact that these areas receive inputs from different regions, and are likely to be involved in different functional roles, there multisensory neurons have many fundamental similarities. They all have multiple receptive fields, one for each sensory input, and these receptive fields overlap one another. It is this spatial correspondence among receptive fields that determines the manner in which both populations of neurons integrate the inputs they receive from different sensory channels. Several principles of integration characterize both cortical and midbrain multisensory neurons, and these constancies in the fundamentals of cross-modality integration are likely to provide a basis for coherence at different levels of the neuraxis. Yet there are also obvious differences in these populations of multisensory neurons. Cortical receptive fields are significantly larger than those in the midbrain, have a lower incidence of suppressive surrounds, and exhibit less cross-modality inhibitory interactions than in the midbrain. Presumably, these differences reflect a greater emphasis on non-spatial aspects of cross-modality integration in cortex than is required by the orientation and localization functions mediated by the superior colliculus.

Mesh:

Year:  1996        PMID: 8979836     DOI: 10.1016/s0079-6123(08)63336-1

Source DB:  PubMed          Journal:  Prog Brain Res        ISSN: 0079-6123            Impact factor:   2.453


  32 in total

1.  Catching audiovisual mice: predicting the arrival time of auditory-visual motion signals.

Authors:  M Hofbauer; S M Wuerger; G F Meyer; F Roehrbein; K Schill; C Zetzsche
Journal:  Cogn Affect Behav Neurosci       Date:  2004-06       Impact factor: 3.282

2.  Spatial heterogeneity of cortical receptive fields and its impact on multisensory interactions.

Authors:  Brian N Carriere; David W Royal; Mark T Wallace
Journal:  J Neurophysiol       Date:  2008-02-20       Impact factor: 2.714

3.  Descending projections from extrastriate visual cortex modulate responses of cells in primary auditory cortex.

Authors:  Matthew I Banks; Daniel J Uhlrich; Philip H Smith; Bryan M Krause; Karen A Manning
Journal:  Cereb Cortex       Date:  2011-04-06       Impact factor: 5.357

4.  Links between temporal acuity and multisensory integration across life span.

Authors:  Ryan A Stevenson; Sarah H Baum; Juliane Krueger; Paul A Newhouse; Mark T Wallace
Journal:  J Exp Psychol Hum Percept Perform       Date:  2017-04-27       Impact factor: 3.332

5.  Interactions between the spatial and temporal stimulus factors that influence multisensory integration in human performance.

Authors:  Ryan A Stevenson; Juliane Krueger Fister; Zachary P Barnett; Aaron R Nidiffer; Mark T Wallace
Journal:  Exp Brain Res       Date:  2012-03-24       Impact factor: 1.972

6.  Inverse effectiveness and multisensory interactions in visual event-related potentials with audiovisual speech.

Authors:  Ryan A Stevenson; Maxim Bushmakin; Sunah Kim; Mark T Wallace; Aina Puce; Thomas W James
Journal:  Brain Topogr       Date:  2012-02-25       Impact factor: 3.020

7.  Exploring the Role of Low Level Visual Processing in Letter-Speech Sound Integration: A Visual MMN Study.

Authors:  Dries Froyen; Nienke van Atteveldt; Leo Blomert
Journal:  Front Integr Neurosci       Date:  2010-04-13

8.  An emergent model of multisensory integration in superior colliculus neurons.

Authors:  Cristiano Cuppini; Mauro Ursino; Elisa Magosso; Benjamin A Rowland; Barry E Stein
Journal:  Front Integr Neurosci       Date:  2010-03-22

9.  Unifying multisensory signals across time and space.

Authors:  M T Wallace; G E Roberson; W D Hairston; B E Stein; J W Vaughan; J A Schirillo
Journal:  Exp Brain Res       Date:  2004-04-27       Impact factor: 1.972

Review 10.  Development and plasticity of intra- and intersensory information processing.

Authors:  Daniel B Polley; Andrea R Hillock; Christopher Spankovich; Maria V Popescu; David W Royal; Mark T Wallace
Journal:  J Am Acad Audiol       Date:  2008 Nov-Dec       Impact factor: 1.664

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