The University of Massachusetts Amherst

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CAPACITIVE ARTIFICIAL NEURAL NETWORKS
                                            
Published: 6/26/2023   |   Inventor(s): Jianhua (joshua) Yang, Qiangfei Xia, Mark McLean, Zhongrui Wang, Qing Wu
Category(s): Computers, Electronics, Engineering, Communications & internet
ARTIFICIAL NEURONS USING DIFFUSIVE MEMRISTOR
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Published: 6/26/2023   |   Inventor(s): Jianhua (joshua) Yang, Qiangfei Xia, Mark McLean, Qing Wu
Category(s): Devices, Computers, Communications & internet, Devices & sensors, Electronics, Engineering, Nanotechnology
Diffusive Memristor as a Synapse
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.
Published: 6/26/2023   |   Inventor(s): Jianhua (joshua) Yang, Qiangfei Xia, Mark McLean, Qing Wu, Mark Barnell
Category(s): Devices, Engineering, Physical Science, Communications & internet, Computers