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A Vector Space Model for Neural Network Functions: Inspirat..:
Ortwin Fromm
;
Fabian Klostermann
;
Felicitas Ehlen
https://www.frontiersin.org/article/10.3389/fnsys.2020.00058/full. , 2020
Link:
https://doi.org/10.3389/fnsys.2020.00058
RT Journal T1
A Vector Space Model for Neural Network Functions: Inspirations From Similarities Between the Theory of Connectivity and the Logarithmic Time Course of Word Production
UL https://suche.suub.uni-bremen.de/peid=base-ftdoajarticles:oai:doaj.org_article:ee90a71c4e0f49e1a1ced210a7cd1c5f&Exemplar=1&LAN=DE A1 Ortwin Fromm A1 Fabian Klostermann A1 Felicitas Ehlen PB Frontiers Media S.A. YR 2020 K1 neural network K1 connectivity K1 word production K1 vector space K1 energy efficiency K1 neural clique K1 Neurosciences. Biological psychiatry. Neuropsychiatry K1 RC321-571 JF https://www.frontiersin.org/article/10.3389/fnsys.2020.00058/full LK http://dx.doi.org/https://doi.org/10.3389/fnsys.2020.00058 DO https://doi.org/10.3389/fnsys.2020.00058 SF ELIB - SuUB Bremen
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