A New Model of Spatial Representation in Multimodal Brain Areas
Abstract
Most models of spatial representations in the cortex assume cells with limited receptive fields that are defined in a particular egocen(cid:173) tric frame of reference. However, cells outside of primary sensory cortex are either gain modulated by postural input or partially shifting. We show that solving classical spatial tasks, like sen(cid:173) sory prediction, multi-sensory integration, sensory-motor transfor(cid:173) mation and motor control requires more complicated intermediate representations that are not invariant in one frame of reference. We present an iterative basis function map that performs these spatial tasks optimally with gain modulated and partially shifting units, and tests it against neurophysiological and neuropsycholog(cid:173) ical data.
Cite
Text
Denève et al. "A New Model of Spatial Representation in Multimodal Brain Areas." Neural Information Processing Systems, 2000.Markdown
[Denève et al. "A New Model of Spatial Representation in Multimodal Brain Areas." Neural Information Processing Systems, 2000.](https://mlanthology.org/neurips/2000/deneve2000neurips-new/)BibTeX
@inproceedings{deneve2000neurips-new,
title = {{A New Model of Spatial Representation in Multimodal Brain Areas}},
author = {Denève, Sophie and Duhamel, Jean-René and Pouget, Alexandre},
booktitle = {Neural Information Processing Systems},
year = {2000},
pages = {117-123},
url = {https://mlanthology.org/neurips/2000/deneve2000neurips-new/}
}