Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Dmitry Toichkin"'
Publikováno v:
Neuromorphic Computing and Engineering, Vol 2, Iss 4, p 044017 (2022)
Hebbian plasticity in winner-take-all (WTA) networks is highly attractive for neuromorphic on-chip learning, owing to its efficient, local, unsupervised, and on-line nature. Moreover, its biological plausibility may help overcome important limitation
Externí odkaz:
https://doaj.org/article/628c3bff1fe949f2bfa2a327c76744a4
Autor:
Timoleon Moraitis, Qinghai Guo, Hector Garcia Rodriguez, Franz Scherr, Adrien Journé, Pontus Stenetorp, Yansong Chua, Dmitry Toichkin
Publikováno v:
Proceedings of the Neuromorphic Materials, Devices, Circuits and Systems.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1f90ce27579e6534a5934e18bc6f405a
https://doi.org/10.29363/nanoge.neumatdecas.2023.049
https://doi.org/10.29363/nanoge.neumatdecas.2023.049
Hebbian plasticity in winner-take-all (WTA) networks is highly attractive for neuromorphic on-chip learning, owing to its efficient, local, unsupervised, and on-line nature. Moreover, its biological plausibility may help overcome important limitation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::109b788bf87f669b4f2f60297f66c25c
