Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Sorin Dan Cotofana"'
Publikováno v:
IEEE Open Journal of Nanotechnology, Vol 2, Pp 59-71 (2021)
In the paper we propose a reconfigurable graphene-based Spiking Neural Network (SNN) architecture and a training methodology for initial synaptic weight values determination. The proposed graphene-based platform is flexible, comprising a programmable
Externí odkaz:
https://doaj.org/article/7ec81bedb76d43cc833cfb0400c4660d
Publikováno v:
IEEE Open Journal of Nanotechnology, Vol 1, Pp 135-144 (2020)
To fully unleash the potential of graphene-based devices for neuromorphic computing, we propose a graphene synapse and a graphene neuron that form together a basic Spiking Neural Network (SNN) unit, which can potentially be utilized to implement comp
Externí odkaz:
https://doaj.org/article/65b73ceffc644f2e8f5565aaf2645047
Publikováno v:
IEEE Transactions on Circuits & Systems. Part II: Express Briefs; Nov2004, Vol. 51 Issue 11, p593-597, 5p