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Memristor in a Reservoir SystemExperimental Evidence for High-Level Computing and Neuromorphic Behavior of PbI2
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 plastic...
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Published in: | ACS applied materials & interfaces 2019-05, Vol.11 (18), p.17009-17018 |
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container_issue | 18 |
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container_title | ACS applied materials & interfaces |
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creator | Wlaźlak, E Marzec, M Zawal, P Szaciłowski, K |
description | 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. |
doi_str_mv | 10.1021/acsami.9b01841 |
format | article |
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Mater. Interfaces</addtitle><date>2019-05-08</date><risdate>2019</risdate><volume>11</volume><issue>18</issue><spage>17009</spage><epage>17018</epage><pages>17009-17018</pages><issn>1944-8244</issn><eissn>1944-8252</eissn><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. 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title | Memristor in a Reservoir SystemExperimental Evidence for High-Level Computing and Neuromorphic Behavior of PbI2 |
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