期刊
IEEE TRANSACTIONS ON NANOTECHNOLOGY
卷 16, 期 4, 页码 721-723出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TNANO.2017.2710158
关键词
Classification; feature; neural network; spike-timing dependent plasticity
类别
资金
- DARPA
- NSF [CCF-1617315]
Utilizing internal dynamic processes in memristors may allow the devices to process temporal data natively. In this letter, we show the ability of second-order memristors to process information in the time domain, and discuss a memristive STDP network that can learn and classify temporal as well as classical data patterns.
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