Jun 3, 2015 · This paper proposes a memristor-based stochastically spiking neuron that fulfills these requirements. First, the analytical model of the ...
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Oct 22, 2024 · This paper proposes a memristor-based stochastically spiking neuron that fulfills these requirements. First, the analytical model of the ...
A memristor-based stochastically spiking neuron that fulfills requirements for scalable and efficient probabilistic neuromorphic platforms and a neural soma ...
Jun 9, 2015 · The switching behavior of the memristor model is demonstrated to be akin to the firing of the stochastic spike re- sponse neuron model, the ...
Sep 30, 2023 · Maruan Al-Shedivat , Rawan Naous , Gert Cauwenberghs , Khaled Nabil Salama : Memristors Empower Spiking Neurons With Stochasticity.
Nov 2, 2016 · The ionic process involved in the underlying switching behavior of the memristive elements is considered as the main source of stochasticity of ...
In this work, a novel CuS/GeSe conductive-bridge threshold switching memristor is fabricated and singled out to realize electronic stochastic neurons.
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pmc.ncbi.nlm.nih.gov › PMC10120469
Hence, the spiking behavior of the neuron presents an approximately normal distribution of the spike intervals (i.e. inherently stochastic) under multiple IF ...
We propose a new memristive neuron circuit that fol- lows the stochastic spike response model (SRM) and can be used for spike-based probabilistic algorithms. We ...
Apr 13, 2018 · In this work, we propose how the inherent stochasticity of nano-scale resistive devices can be harnessed to emulate the functionality of a ...