Literature DB >> 30986023

Memristor in a Reservoir System-Experimental Evidence for High-Level Computing and Neuromorphic Behavior of PbI2.

E Wlaźlak1, M Marzec, P Zawal, K Szaciłowski.   

Abstract

Lead halides in an asymmetric layered structure form memristive devices which are controlled by the electronic structure of the PbX2|metal interface. In this paper, we explain the mechanism that stands behind the I- V pinched hysteresis loop of the device and shortly present its synaptic-like plasticity (spike-timing-dependent plasticity and spike-rate-dependent plasticity) and nonvolatile memory effects. This memristive element was incorporated into a reservoir system, in particular, the echo-state network with delayed feedback, which exhibits brain-like recurrent behavior and demonstrates metaplasticity as one of the available learning mechanisms. It can serve as a classification system that classifies input signals according to their amplitude.

Entities:  

Keywords:  Schottky barrier; memristor; metaplasticity; neuromorphic systems; reservoir computing

Year:  2019        PMID: 30986023     DOI: 10.1021/acsami.9b01841

Source DB:  PubMed          Journal:  ACS Appl Mater Interfaces        ISSN: 1944-8244            Impact factor:   9.229


  1 in total

1.  Towards Embedded Computation with Building Materials.

Authors:  Dawid Przyczyna; Maciej Suchecki; Andrew Adamatzky; Konrad Szaciłowski
Journal:  Materials (Basel)       Date:  2021-03-31       Impact factor: 3.623

  1 in total

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