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Spatial invariance of visual receptive fields in parietal cortex neurons

Author

Listed:
  • Jean-René Duhamel

    (Laboratoire de Physiologie de la Perception et de l'Action, CNRS-Collège de France)

  • Frank Bremmer

    (Laboratoire de Physiologie de la Perception et de l'Action, CNRS-Collège de France
    Ruhr-University Bochum)

  • Suliann Ben Hamed

    (Laboratoire de Physiologie de la Perception et de l'Action, CNRS-Collège de France)

  • Werner Graf

    (Laboratoire de Physiologie de la Perception et de l'Action, CNRS-Collège de France)

Abstract

Spatial information is conveyed to the primary visual cortex in retinal coordinates. Movement trajectory programming, however, requires a transformation from this sensory frame of reference into a frame appropriate for the selected part of the body, such as the eye, head or arms1,2,3,4. To achieve this transformation, visual information must be combined with information from other sources: for instance, the location of an object of interest can be defined with respect to the observer's head if the position of the eyes in the orbit is known and is added to the object's retinal coordinates. Here we show that in a subdivision of the monkey parietal lobe, the ventral intraparietal area (VIP), the activity of visual neurons is modulated by eye-position signals, as in many other areas of the cortical visual system5,6,7,8,9,10. We find that individual receptive fields of a population of VIP neurons are organized along a continuum, from eye to head coordinates. In the latter case, neurons encode the azimuth and/or elevation of a visual stimulus, independently of the direction in which the eyes are looking, thus representing spatial locations explicitly in at least a head-centred frame of reference.

Suggested Citation

  • Jean-René Duhamel & Frank Bremmer & Suliann Ben Hamed & Werner Graf, 1997. "Spatial invariance of visual receptive fields in parietal cortex neurons," Nature, Nature, vol. 389(6653), pages 845-848, October.
  • Handle: RePEc:nat:nature:v:389:y:1997:i:6653:d:10.1038_39865
    DOI: 10.1038/39865
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    Cited by:

    1. Joseph G Makin & Matthew R Fellows & Philip N Sabes, 2013. "Learning Multisensory Integration and Coordinate Transformation via Density Estimation," PLOS Computational Biology, Public Library of Science, vol. 9(4), pages 1-17, April.

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