Diffusive Memristor as a Synapse
Qiangfei Xia, Ph.D. Joshua Yang, Ph.D.
Neuromorphic computing, systems designed to mimic the biological nervous system, require far less power than current computer processors. The increased efficiency makes feasible artificial intelligence applications for smaller, hand-held devices (e.g. smartphones, tablets). To this end, UMass inventors have designed hardware components that mimic neuronal synapses (Figure A). Specifically, diffusive Ag-in-oxide memristors show a temporal response during and after stimulation similar to that of a biological synapse. The novel diffusive memristor and its synapse-like dynamics enable a direct emulation of both short- and long-term plasticity of biological synapses and represent a major advancement in a hardware implementation for neuromorphic computing.
• High density
• Low energy
• faithfully emulation of bio-synapses
• Intrinsic synaptic dynamics
• 3D stackable
• Memristor for neuromorphic computing
• Spiking neural networks (SNNs)
• Synapse emulators
Available for Licensing and/or Sponsored Research
UMA 18-001
F
Patent Issued
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