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.
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Jo et al. (Mon,) studied this question.
synapsesocial.com/papers/69c476a21f99e988c508674e — DOI: https://doi.org/10.1021/nl904092h
Sung Hyun Jo
Pusan National University Hospital
Ting‐Chang Chang
ON Semiconductor (United States)
Idongesit E. Ebong
University of Michigan
Nano Letters
University of Michigan
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