120. training and operation of the spiking neuron network based on cbram

Department: Electrical & Computer Engineering
Faculty Advisor(s): Duygu Kuzum

Primary Student
Name: Yuhan Shi
Email: yus022@ucsd.edu
Phone: 518-428-8967
Grad Year: 2020

Student Collaborators
Leon Nguyen, lnn009@eng.ucsd.edu

Abstract
Neuromorphic engineering uses electronic analog circuits to mimic neuro-biological architectures present in the nervous system. As the emerging memory devices, Conductive Bridging RAM (CBRAM) is a potential candidate for neuromorphic application. It has synapses like behavior and can be used to mimic the neural networks in human brain. Spiking neuron networks in principle can be used for information processing applications the same way as traditional artificial neural networks. In addition, spiking neural networks can model the central nervous system. Spiking neuron networks is the networks which has close biological relation with synapses in human brain. Inspried by the spiking neuron networks alogrithm, we aim to implement it in CBRAM to achieve better computation efficiency and mimicking the synapses plasticity in human brain.

Industry Application Area(s)
Electronics/Photonics | Materials | Semiconductor

« Back to Posters or Search Results