Publication
Title
Neurospaces parameter handling
Author
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.
Language
English
Source (journal)
Neurocomputing: an international journal. - Amsterdam
Publication
Amsterdam : 2004
ISSN
0925-2312
ISBN
0-444-51649-2
Volume/pages
58(2004), p. 1079-1084
ISI
000222245900154
Full text (Publisher's DOI)
UAntwerpen
Faculty/Department
Research group
Publication type
Subject
Affiliation
Publications with a UAntwerp address
External links
Web of Science
Record
Identification
Creation 08.10.2008
Last edited 08.06.2017
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