Literature DB >> 15616131

The integration of colour and motion by the human visual brain.

Matthew W Self1, S Zeki.   

Abstract

Objects in the visual scene are defined by different cues such as colour and motion. Through the integration of these cues the visual system is able to utilize different sources of information, thus enhancing its ability to discriminate objects from their backgrounds. In the following experiments, we investigate the neural mechanisms of cue integration in the human. We show, using functional magnetic resonance imaging (fMRI), that both colour and motion defined shapes activate the lateral occipital complex (LOC) and that shapes defined by both colour and motion simultaneously activate the anterior-ventral margins of this area more strongly than shapes defined by either cue alone. This suggests that colour and motion cues are integrated in the LOC and possibly a neighbouring, more anterior, region. We support this result using an fMR adaptation technique, demonstrating that a region of the LOC adapts on repeated presentations of a shape regardless of the cue that is used to define it and even if the cue is varied. This result raises the possibility that the LOC contains cue-invariant neurons that respond to shapes regardless of the cue that is used to define them. We propose that such neurons could integrate signals from different cues, making them more responsive to objects defined by more than one cue, thus increasing the ability of the observer to recognize them.

Entities:  

Mesh:

Year:  2004        PMID: 15616131     DOI: 10.1093/cercor/bhi010

Source DB:  PubMed          Journal:  Cereb Cortex        ISSN: 1047-3211            Impact factor:   5.357


  11 in total

1.  An intracranial event-related potential study on transformational apparent motion. Does its neural processing differ from real motion?

Authors:  Josie-Anne Bertrand; Maryse Lassonde; Manon Robert; Dang Khoa Nguyen; Armando Bertone; Marie-Ève Doucet; Alain Bouthillier; Franco Lepore
Journal:  Exp Brain Res       Date:  2011-11-10       Impact factor: 1.972

2.  Combination of texture and color cues in visual segmentation.

Authors:  Toni P Saarela; Michael S Landy
Journal:  Vision Res       Date:  2012-02-24       Impact factor: 1.886

3.  Detailed spatiotemporal brain mapping of chromatic vision combining high-resolution VEP with fMRI and retinotopy.

Authors:  Sabrina Pitzalis; Francesca Strappini; Alessandro Bultrini; Francesco Di Russo
Journal:  Hum Brain Mapp       Date:  2018-03-13       Impact factor: 5.038

4.  Integration trumps selection in object recognition.

Authors:  Toni P Saarela; Michael S Landy
Journal:  Curr Biol       Date:  2015-03-19       Impact factor: 10.834

5.  fMR-Adaptation Reveals Invariant Coding of Biological Motion on the Human STS.

Authors:  Emily D Grossman; Nicole L Jardine; John A Pyles
Journal:  Front Hum Neurosci       Date:  2010-03-23       Impact factor: 3.169

6.  fMR-adaptation indicates selectivity to audiovisual content congruency in distributed clusters in human superior temporal cortex.

Authors:  Nienke M van Atteveldt; Vera C Blau; Leo Blomert; Rainer Goebel
Journal:  BMC Neurosci       Date:  2010-02-02       Impact factor: 3.288

7.  Different temporal structure for form versus surface cortical color systems--evidence from chromatic non-linear VEP.

Authors:  David P Crewther; Sheila G Crewther
Journal:  PLoS One       Date:  2010-12-20       Impact factor: 3.240

8.  Multisensory functional magnetic resonance imaging: a future perspective.

Authors:  Rainer Goebel; Nienke van Atteveldt
Journal:  Exp Brain Res       Date:  2009-06-17       Impact factor: 1.972

9.  Multisensory visual-tactile object related network in humans: insights gained using a novel crossmodal adaptation approach.

Authors:  Noa Tal; Amir Amedi
Journal:  Exp Brain Res       Date:  2009-08-04       Impact factor: 1.972

10.  Automatic processing of unattended object features by functional connectivity.

Authors:  Katja M Mayer; Quoc C Vuong
Journal:  Front Hum Neurosci       Date:  2013-05-15       Impact factor: 3.169

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