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Paper published in a journal (Scientific congresses and symposiums)
Modeling familiarity through the combination of deep learning and Hebbian training
Read, John
;
Sougné, Jacques
2023
•
In
Brain and Cognition, 170
, p. 106050
Peer Reviewed verified by ORBi
Permalink
https://hdl.handle.net/2268/309657
DOI
10.1016/j.bandc.2023.106050
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Modeling-familiarity-through-the-combination-of-deep-lear_2023_Brain-and-Cog.pdf
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Keywords :
Cognitive Neuroscience; Experimental and Cognitive Psychology; Neuropsychology and Physiological Psychology; Artificial Neural Networks
Disciplines :
Theoretical & cognitive psychology
Author, co-author :
Read, John
;
Université de Liège - ULiège > GIGA
Sougné, Jacques
;
Université de Liège - ULiège > UDI FPLSE
Language :
English
Title :
Modeling familiarity through the combination of deep learning and Hebbian training
Publication date :
August 2023
Event name :
3rd edition of the Recollection, Familiarity, and Novelty Conference
Event place :
Liège, Belgium
Event date :
16th and 17th March 2023
Audience :
International
Journal title :
Brain and Cognition
ISSN :
0278-2626
eISSN :
1090-2147
Publisher :
Elsevier BV, Atlanta, United States - New York
Volume :
170
Pages :
106050
Peer reviewed :
Peer Reviewed verified by ORBi
Additional URL :
https://api.elsevier.com/content/article/PII:S0278262623001070?httpAccept=text/xml
Available on ORBi :
since 10 December 2023
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