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
ISBN
0-444-51649-2
DOI
10.1016/J.NEUCOM.2004.01.169
Volume/pages
58 (2004) , p. 1079-1084
ISI
000223887200154
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
Identifier
Creation 08.10.2008
Last edited 23.08.2022
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