Spatial Representations in the Parietal Cortex May Use Basis Functions

Abstract

The parietal cortex is thought to represent the egocentric posi(cid:173) tions of objects in particular coordinate systems. We propose an alternative approach to spatial perception of objects in the pari(cid:173) etal cortex from the perspective of sensorimotor transformations. The responses of single parietal neurons can be modeled as a gaus(cid:173) sian function of retinal position multiplied by a sigmoid function of eye position, which form a set of basis functions. We show here how these basis functions can be used to generate receptive fields in either retinotopic or head-centered coordinates by simple linear transformations. This raises the possibility that the parietal cortex does not attempt to compute the positions of objects in a partic(cid:173) ular frame of reference but instead computes a general purpose representation of the retinal location and eye position from which any transformation can be synthesized by direct projection. This representation predicts that hemineglect, a neurological syndrome produced by parietal lesions, should not be confined to egocentric coordinates, but should be observed in multiple frames of reference in single patients, a prediction supported by several experiments.

Cite

Text

Pouget and Sejnowski. "Spatial Representations in the Parietal Cortex May Use Basis Functions." Neural Information Processing Systems, 1994.

Markdown

[Pouget and Sejnowski. "Spatial Representations in the Parietal Cortex May Use Basis Functions." Neural Information Processing Systems, 1994.](https://mlanthology.org/neurips/1994/pouget1994neurips-spatial/)

BibTeX

@inproceedings{pouget1994neurips-spatial,
  title     = {{Spatial Representations in the Parietal Cortex May Use Basis Functions}},
  author    = {Pouget, Alexandre and Sejnowski, Terrence J.},
  booktitle = {Neural Information Processing Systems},
  year      = {1994},
  pages     = {157-164},
  url       = {https://mlanthology.org/neurips/1994/pouget1994neurips-spatial/}
}