University of Massachusetts Amherst

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Diffusive Memristor as a Synapse

LEAD INVENTOR:
Qiangfei Xia, Ph.D.  Joshua Yang, Ph.D.
TECHNOLOGY DESCRIPTION
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.  

 
ADVANTAGES

•       High density

•       Low energy

•       faithfully emulation of bio-synapses

•       Intrinsic synaptic dynamics

•       3D stackable

 

 
APPLICATIONS
•       Memristor for neuromorphic computing

•       Spiking neural networks (SNNs) 

•       Synapse emulators 

ABOUT THE INVENTOR
Qiangfei Xia is an associate professor in the department of Electrical and Computer Engineering.  Professor Xia’s research is focused on post-CMOS nanodevices, device physics, integrated nanosystems, and enabling nanotechnologies.

 

Jianhua (Joshua) Yang is a professor in the department of Electrical and Computer Engineering. Professor Yang research focuses on unconventional computing technologies, including neuromorphic computing using memristive devices. 

AVAILABILITY:
Available for Licensing and/or Sponsored Research
DOCKET:
UMA 18-001
PATENT STATUS:
Patent Pending
Contact:
Burnley Jaklevic
Senior Licensing Officer
University of Massachusetts
413-577-0651
bjaklevic@research.umass.edu
Inventor(s):
Jinhua (Joshua) Yang
Qiangfei Xia
Mark McLean
Qing Wu
Mark Barnell
Keywords: