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Wang, H. (author), Cucu Laurenciu, N. (author), Jiang, Y. (author), Cotofana, S.D. (author)Design and implementation of artificial neuromorphic systems able to provide brain akin computation and/or bio-compatible interfacing ability are crucial for understanding the human brain's complex functionality and unleashing brain-inspired computation's full potential. To this end, the realization of energy-efficient, low-area, and bio...journal article 2021
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Wang, H. (author), Cucu Laurenciu, N. (author), Cotofana, S.D. (author)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 synaptic array which can be configured for different initial synaptic weights and plasticity...journal article 2021
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Wang, He (author), Cucu Laurenciu, N. (author), Jiang, Y. (author), Cotofana, S.D. (author)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 complex SNNs. Specifically, the proposed synapse enables two fundamental synaptic functionalities,...journal article 2020