dc.contributor.author
Fromm, Ortwin
dc.contributor.author
Klostermann, Fabian
dc.contributor.author
Ehlen, Felicitas
dc.date.accessioned
2021-02-04T13:00:21Z
dc.date.available
2021-02-04T13:00:21Z
dc.identifier.uri
https://refubium.fu-berlin.de/handle/fub188/29487
dc.identifier.uri
http://dx.doi.org/10.17169/refubium-29231
dc.description.abstract
The present report examines the coinciding results of two study groups each presenting a power-of-two function to describe network structures underlying perceptual processes in one case and word production during verbal fluency tasks in the other. The former is theorized as neural cliques organized according to the functionN= 2(i)- 1, whereas the latter assumes word conglomerations thinkable as tuples following the functionN= 2(i). Both theories assume the innate optimization of energy efficiency to cause the specific connectivity structure. The vast resemblance between both formulae motivated the development of a common formulation. This was obtained by using a vector space model, in which the configuration of neural cliques or connected words is represented by aN-dimensional state vector. A further analysis of the model showed that the entire time course of word production could be derived using basically one single minimal transformation-matrix. This again seems in line with the principle of maximum energy efficiency.
en
dc.rights.uri
https://creativecommons.org/licenses/by/4.0/
dc.subject
neural network
en
dc.subject
connectivity
en
dc.subject
word production
en
dc.subject
vector space
en
dc.subject
energy efficiency
en
dc.subject
neural clique
en
dc.subject.ddc
600 Technik, Medizin, angewandte Wissenschaften::610 Medizin und Gesundheit::610 Medizin und Gesundheit
dc.title
A Vector Space Model for Neural Network Functions: Inspirations From Similarities Between the Theory of Connectivity and the Logarithmic Time Course of Word Production
dc.type
Wissenschaftlicher Artikel
dcterms.bibliographicCitation.articlenumber
58
dcterms.bibliographicCitation.doi
10.3389/fnsys.2020.00058
dcterms.bibliographicCitation.journaltitle
Frontiers in Systems Neuroscience
dcterms.bibliographicCitation.originalpublishername
Frontiers Media SA
dcterms.bibliographicCitation.volume
14
refubium.affiliation
Charité - Universitätsmedizin Berlin
refubium.resourceType.isindependentpub
no
dcterms.accessRights.openaire
open access
dcterms.bibliographicCitation.pmid
32982704
dcterms.isPartOf.eissn
1662-5137