Computational Efficiency: A Common Organizing Principle for Parallel Computer Maps and Brain Maps?
Abstract
It is well-known that neural responses in particular brain regions are spatially organized, but no general principles have been de(cid:173) veloped that relate the structure of a brain map to the nature of the associated computation. On parallel computers, maps of a sort quite similar to brain maps arise when a computation is distributed across multiple processors. In this paper we will discuss the rela(cid:173) tionship between maps and computations on these computers and suggest how similar considerations might also apply to maps in the brain.
Cite
Text
Nelson and Bower. "Computational Efficiency: A Common Organizing Principle for Parallel Computer Maps and Brain Maps?." Neural Information Processing Systems, 1989.Markdown
[Nelson and Bower. "Computational Efficiency: A Common Organizing Principle for Parallel Computer Maps and Brain Maps?." Neural Information Processing Systems, 1989.](https://mlanthology.org/neurips/1989/nelson1989neurips-computational/)BibTeX
@inproceedings{nelson1989neurips-computational,
title = {{Computational Efficiency: A Common Organizing Principle for Parallel Computer Maps and Brain Maps?}},
author = {Nelson, Mark E. and Bower, James M.},
booktitle = {Neural Information Processing Systems},
year = {1989},
pages = {60-67},
url = {https://mlanthology.org/neurips/1989/nelson1989neurips-computational/}
}