Title
Neurospaces parameter handlingNeurospaces parameter handling
Author
Faculty/Department
Faculty of Pharmaceutical, Biomedical and Veterinary Sciences . Biomedical Sciences
Research group
Theoretical neurobiology
Publication type
article
Publication
Amsterdam,
Subject
Human medicine
Computer. Automation
Source (journal)
Neurocomputing: an international journal. - Amsterdam
Volume/pages
58(2004), p. 1079-1084
ISSN
0925-2312
0925-2312
ISI
000222245900154
ISBN
0-444-51649-2
Carrier
E
Target language
English (eng)
Full text (Publishers DOI)
Affiliation
University of Antwerp
Abstract
In neuro-biological modeling, no good software technologies currently exist that are memory-efficient and give access to all the mathematical details of a large model. Here we present enabling technologies that deal with transformations of parameters of a large model. The discussed techniques allow to store models in a memory-effective way. (C) 2004 Published by Elsevier B.V.
E-info
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Handle