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Single pairing spike-timing dependent plasticity in BiFeO(3) memristors with a time window of 25 ms to 125 μs
Memristive devices are popular among neuromorphic engineers for their ability to emulate forms of spike-driven synaptic plasticity by applying specific voltage and current waveforms at their two terminals. In this paper, we investigate spike-timing dependent plasticity (STDP) with a single pairing o...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4485154/ https://www.ncbi.nlm.nih.gov/pubmed/26175666 http://dx.doi.org/10.3389/fnins.2015.00227 |
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author | Du, Nan Kiani, Mahdi Mayr, Christian G. You, Tiangui Bürger, Danilo Skorupa, Ilona Schmidt, Oliver G. Schmidt, Heidemarie |
author_facet | Du, Nan Kiani, Mahdi Mayr, Christian G. You, Tiangui Bürger, Danilo Skorupa, Ilona Schmidt, Oliver G. Schmidt, Heidemarie |
author_sort | Du, Nan |
collection | PubMed |
description | Memristive devices are popular among neuromorphic engineers for their ability to emulate forms of spike-driven synaptic plasticity by applying specific voltage and current waveforms at their two terminals. In this paper, we investigate spike-timing dependent plasticity (STDP) with a single pairing of one presynaptic voltage spike and one post-synaptic voltage spike in a BiFeO(3) memristive device. In most memristive materials the learning window is primarily a function of the material characteristics and not of the applied waveform. In contrast, we show that the analog resistive switching of the developed artificial synapses allows to adjust the learning time constant of the STDP function from 25 ms to 125 μs via the duration of applied voltage spikes. Also, as the induced weight change may degrade, we investigate the remanence of the resistance change for several hours after analog resistive switching, thus emulating the processes expected in biological synapses. As the power consumption is a major constraint in neuromorphic circuits, we show methods to reduce the consumed energy per setting pulse to only 4.5 pJ in the developed artificial synapses. |
format | Online Article Text |
id | pubmed-4485154 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-44851542015-07-14 Single pairing spike-timing dependent plasticity in BiFeO(3) memristors with a time window of 25 ms to 125 μs Du, Nan Kiani, Mahdi Mayr, Christian G. You, Tiangui Bürger, Danilo Skorupa, Ilona Schmidt, Oliver G. Schmidt, Heidemarie Front Neurosci Neuroscience Memristive devices are popular among neuromorphic engineers for their ability to emulate forms of spike-driven synaptic plasticity by applying specific voltage and current waveforms at their two terminals. In this paper, we investigate spike-timing dependent plasticity (STDP) with a single pairing of one presynaptic voltage spike and one post-synaptic voltage spike in a BiFeO(3) memristive device. In most memristive materials the learning window is primarily a function of the material characteristics and not of the applied waveform. In contrast, we show that the analog resistive switching of the developed artificial synapses allows to adjust the learning time constant of the STDP function from 25 ms to 125 μs via the duration of applied voltage spikes. Also, as the induced weight change may degrade, we investigate the remanence of the resistance change for several hours after analog resistive switching, thus emulating the processes expected in biological synapses. As the power consumption is a major constraint in neuromorphic circuits, we show methods to reduce the consumed energy per setting pulse to only 4.5 pJ in the developed artificial synapses. Frontiers Media S.A. 2015-06-30 /pmc/articles/PMC4485154/ /pubmed/26175666 http://dx.doi.org/10.3389/fnins.2015.00227 Text en Copyright © 2015 Du, Kiani, Mayr, You, Bürger, Skorupa, Schmidt and Schmidt. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neuroscience Du, Nan Kiani, Mahdi Mayr, Christian G. You, Tiangui Bürger, Danilo Skorupa, Ilona Schmidt, Oliver G. Schmidt, Heidemarie Single pairing spike-timing dependent plasticity in BiFeO(3) memristors with a time window of 25 ms to 125 μs |
title | Single pairing spike-timing dependent plasticity in BiFeO(3) memristors with a time window of 25 ms to 125 μs |
title_full | Single pairing spike-timing dependent plasticity in BiFeO(3) memristors with a time window of 25 ms to 125 μs |
title_fullStr | Single pairing spike-timing dependent plasticity in BiFeO(3) memristors with a time window of 25 ms to 125 μs |
title_full_unstemmed | Single pairing spike-timing dependent plasticity in BiFeO(3) memristors with a time window of 25 ms to 125 μs |
title_short | Single pairing spike-timing dependent plasticity in BiFeO(3) memristors with a time window of 25 ms to 125 μs |
title_sort | single pairing spike-timing dependent plasticity in bifeo(3) memristors with a time window of 25 ms to 125 μs |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4485154/ https://www.ncbi.nlm.nih.gov/pubmed/26175666 http://dx.doi.org/10.3389/fnins.2015.00227 |
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