Published 1990
| Published
Book Section - Chapter
Open
Computational Efficiency: A Common Organizing Principle for Parallel Computer Maps and Brain Maps?
- Creators
- Nelson, Mark E.
- Bower, James M.
- Other:
- Touretzky, David S.
Abstract
It is well-known that neural responses in particular brain regions are spatially organized, but no general principles have been developed 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 relationship between maps and computations on these computers and suggest how similar considerations might also apply to maps in the brain.
Additional Information
© 1990 Morgan Kaufmann. We would like to acknowledge Wojtek Furmanski and Geoffrey Fox of the Caltech Concurrent Computation Program (CCCP) for their parallel computing support. We would also like to thank Geoffrey for his comments on an earlier version of this manuscript. This effort was supported by the NSF (ECS-8700064), the Lockheed Corporation, and the Department of Energy (DE-FG03-85ER25009).Attached Files
Published - 235-computational-efficiency-a-common-organizing-principle-for-parallel-computer-maps-and-brain-maps.pdf
Files
235-computational-efficiency-a-common-organizing-principle-for-parallel-computer-maps-and-brain-maps.pdf
Files
(1.8 MB)
| Name | Size | Download all |
|---|---|---|
|
md5:92885cfd06ba06d7a17783996d255c28
|
1.8 MB | Preview Download |
Additional details
- Eprint ID
- 63481
- Resolver ID
- CaltechAUTHORS:20160107-162031185
- ECS-8700064
- NSF
- Lockheed Corporation
- DE-FG03-85ER25009
- Department of Energy (DOE)
- Created
-
2016-01-09Created from EPrint's datestamp field
- Updated
-
2019-10-03Created from EPrint's last_modified field
- Series Name
- Advances in Neural Information Processing Systems
- Series Volume or Issue Number
- 2