Memristive Physically Evolving Networks Enabling the Emulation of Heterosynaptic Plasticity.
A nanoscale, solid-state physically evolving network is experimentally demonstrated, based on the self-organization of Ag nanoclusters under an electric field. The adaptive nature of the network is determined by the collective inputs from multiple terminals and allows the emulation of heterosynaptic plasticity, an important learning rule in biological systems. These effects are universally observed in devices based on different switching materials.
Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI, 48109, USA.
Yuchao
Y
Yang
Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI, 48109, USA.
Bing
B
Chen
Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI, 48109, USA.
Wei D
WD
Lu
Monte Carlo simulations; heterosynaptic plasticity; memristive switching; neuromorphic computing; physically evolving networks