Nanoscale Memristor Device as Synapse in Neuromorphic Systems
Top Cited Papers
- 1 March 2010
- journal article
- letter
- Published by American Chemical Society (ACS) in Nano Letters
- Vol. 10 (4), 1297-1301
- https://doi.org/10.1021/nl904092h
Abstract
A memristor is a two-terminal electronic device whose conductance can be precisely modulated by charge or flux through it. Here we experimentally demonstrate a nanoscale silicon-based memristor device and show that a hybrid system composed of complementary metal-oxide semiconductor neurons and memristor synapses can support important synaptic functions such as spike timing dependent plasticity. Using memristors as synapses in neuromorphic circuits can potentially offer both high connectivity and high density required for efficient computing.Keywords
This publication has 23 references indexed in Scilit:
- Memristive model of amoeba learningPhysical Review E, 2009
- A hybrid nanomemristor/transistor logic circuit capable of self-programmingProceedings of the National Academy of Sciences of the United States of America, 2009
- The missing memristor foundNature, 2008
- Large-scale model of mammalian thalamocortical systemsProceedings of the National Academy of Sciences of the United States of America, 2008
- A VLSI Array of Low-Power Spiking Neurons and Bistable Synapses With Spike-Timing Dependent PlasticityIEEE Transactions on Neural Networks, 2006
- Total regional and global number of synapses in the human brain neocortexSynapse, 2001
- Competitive Hebbian learning through spike-timing-dependent synaptic plasticityNature Neuroscience, 2000
- Synaptic Modifications in Cultured Hippocampal Neurons: Dependence on Spike Timing, Synaptic Strength, and Postsynaptic Cell TypeJournal of Neuroscience, 1998
- Neuromorphic Analogue VLSIAnnual Review of Neuroscience, 1995
- Memristor-The missing circuit elementIEEE Transactions on Circuit Theory, 1971