Title
A 4-Transistors/1-Resistor Hybrid Synapse Based on Resistive Switching Memory (RRAM) Capable of Spike-Rate-Dependent Plasticity (SRDP).
Abstract
Mimicking the cognitive functions of the brain in hardware is a primary challenge for several fields, including device physics, neuromorphic engineering, and biological neuroscience. A key element in cognitive hardware systems is the ability to learn via biorealistic plasticity rules, combined with the area scaling capability to enable integration of high-density neuron/synapse networks. To this p...
Year
DOI
Venue
2018
10.1109/TVLSI.2018.2818978
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
Keywords
Field
DocType
Synapses,Logic gates,Training,Frequency measurement,Switches,Hardware,Neurons
Logic gate,Computer science,Neuromorphic engineering,CMOS,Electronic engineering,Unsupervised learning,Resistor,Artificial neural network,Integrated circuit,Resistive random-access memory
Journal
Volume
Issue
ISSN
26
12
1063-8210
Citations 
PageRank 
References 
1
0.35
0
Authors
7