Stochastic resonance effect in binary STDP performed by RRAM devices
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hdl:2117/381472
Document typeConference report
Defense date2022
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Rights accessOpen Access
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Abstract
The beneficial role of noise in the binary spike time dependent plasticity (STDP) learning rule, when implemented with memristors, is experimentally analyzed. The two memristor conductance states, which emulate the neuron synapse in neuromorphic architectures, can be better distinguished if a gaussian noise is added to the bias. The addition of noise allows to reach memristor conductances which are proportional to the overlap between pre- and post-synaptic pulses.
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CitationSalvador, E. [et al.]. Stochastic resonance effect in binary STDP performed by RRAM devices. A: IEEE International Conference on Nanotechnology. "2022 IEEE 22nd International Conference on Nanotechnology (NANO): Palma de Mallorca, Spain: July 4-8, 2022: proceedings". Institute of Electrical and Electronics Engineers (IEEE), 2022, p. 449-452. ISBN 1-66545-225-0. DOI 10.1109/NANO54668.2022.9928738.
ISBN1-66545-225-0
Publisher versionhttps://ieeexplore.ieee.org/document/9928738
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