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pro vyhledávání: '"Toichkin, Dmitry"'
Publikováno v:
Neuromorphic Computing and Engineering, 2(4), 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:
http://arxiv.org/abs/2107.05747
