Literature DB >> 1700511

Brain maps and parallel computers.

M E Nelson1, J M Bower.   

Abstract

It is well known that neural responses in many brain regions are organized in characteristic spatial patterns referred to as brain maps. It is likely that these patterns in some way reflect aspects of the neural computations being performed, but to date there are no general guiding principles for relating the structure of a brain map to the properties of the associated computation. In the field of parallel computing, maps similar to brain maps arise when computations are distributed across the multiple processors of a parallel computer. In this case, the relationship between maps and computations is well understood and general principles for optimally mapping computations onto parallel computers have been developed. In this paper we discuss how these principles may help illuminate the relationship between maps and computations in the nervous system.

Mesh:

Year:  1990        PMID: 1700511     DOI: 10.1016/0166-2236(90)90119-u

Source DB:  PubMed          Journal:  Trends Neurosci        ISSN: 0166-2236            Impact factor:   13.837


  15 in total

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3.  A separable shadow Hamiltonian hybrid Monte Carlo method.

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Review 5.  Topographic organization in the brain: searching for general principles.

Authors:  Gaurav H Patel; David M Kaplan; Lawrence H Snyder
Journal:  Trends Cogn Sci       Date:  2014-05-23       Impact factor: 20.229

6.  The connectivity of the brain: multi-level quantitative analysis.

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Journal:  Biol Cybern       Date:  1995-11       Impact factor: 2.086

7.  Examining the volume efficiency of the cortical architecture in a multi-processor network model.

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Journal:  Biol Cybern       Date:  1993       Impact factor: 2.086

8.  Six principles of visual cortical dynamics.

Authors:  Per E Roland
Journal:  Front Syst Neurosci       Date:  2010-07-02

9.  Optimally wired subnetwork determines neuroanatomy of Caenorhabditis elegans.

Authors:  Alfonso Pérez-Escudero; Gonzalo G de Polavieja
Journal:  Proc Natl Acad Sci U S A       Date:  2007-10-17       Impact factor: 11.205

10.  Synchronization in primate cerebellar granule cell layer local field potentials: basic anisotropy and dynamic changes during active expectancy.

Authors:  Richard Courtemanche; Pascal Chabaud; Yves Lamarre
Journal:  Front Cell Neurosci       Date:  2009-07-20       Impact factor: 5.505

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