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Memristive synapses connect brain and silicon spiking neurons
Brain function relies on circuits of spiking neurons with synapses playing the key role of merging transmission with memory storage and processing. Electronics has made important advances to emulate neurons and synapses and brain-computer interfacing concepts that interlink brain and brain-inspired...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7042282/ https://www.ncbi.nlm.nih.gov/pubmed/32098971 http://dx.doi.org/10.1038/s41598-020-58831-9 |
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author | Serb, Alexantrou Corna, Andrea George, Richard Khiat, Ali Rocchi, Federico Reato, Marco Maschietto, Marta Mayr, Christian Indiveri, Giacomo Vassanelli, Stefano Prodromakis, Themistoklis |
author_facet | Serb, Alexantrou Corna, Andrea George, Richard Khiat, Ali Rocchi, Federico Reato, Marco Maschietto, Marta Mayr, Christian Indiveri, Giacomo Vassanelli, Stefano Prodromakis, Themistoklis |
author_sort | Serb, Alexantrou |
collection | PubMed |
description | Brain function relies on circuits of spiking neurons with synapses playing the key role of merging transmission with memory storage and processing. Electronics has made important advances to emulate neurons and synapses and brain-computer interfacing concepts that interlink brain and brain-inspired devices are beginning to materialise. We report on memristive links between brain and silicon spiking neurons that emulate transmission and plasticity properties of real synapses. A memristor paired with a metal-thin film titanium oxide microelectrode connects a silicon neuron to a neuron of the rat hippocampus. Memristive plasticity accounts for modulation of connection strength, while transmission is mediated by weighted stimuli through the thin film oxide leading to responses that resemble excitatory postsynaptic potentials. The reverse brain-to-silicon link is established through a microelectrode-memristor pair. On these bases, we demonstrate a three-neuron brain-silicon network where memristive synapses undergo long-term potentiation or depression driven by neuronal firing rates. |
format | Online Article Text |
id | pubmed-7042282 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-70422822020-03-03 Memristive synapses connect brain and silicon spiking neurons Serb, Alexantrou Corna, Andrea George, Richard Khiat, Ali Rocchi, Federico Reato, Marco Maschietto, Marta Mayr, Christian Indiveri, Giacomo Vassanelli, Stefano Prodromakis, Themistoklis Sci Rep Article Brain function relies on circuits of spiking neurons with synapses playing the key role of merging transmission with memory storage and processing. Electronics has made important advances to emulate neurons and synapses and brain-computer interfacing concepts that interlink brain and brain-inspired devices are beginning to materialise. We report on memristive links between brain and silicon spiking neurons that emulate transmission and plasticity properties of real synapses. A memristor paired with a metal-thin film titanium oxide microelectrode connects a silicon neuron to a neuron of the rat hippocampus. Memristive plasticity accounts for modulation of connection strength, while transmission is mediated by weighted stimuli through the thin film oxide leading to responses that resemble excitatory postsynaptic potentials. The reverse brain-to-silicon link is established through a microelectrode-memristor pair. On these bases, we demonstrate a three-neuron brain-silicon network where memristive synapses undergo long-term potentiation or depression driven by neuronal firing rates. Nature Publishing Group UK 2020-02-25 /pmc/articles/PMC7042282/ /pubmed/32098971 http://dx.doi.org/10.1038/s41598-020-58831-9 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Serb, Alexantrou Corna, Andrea George, Richard Khiat, Ali Rocchi, Federico Reato, Marco Maschietto, Marta Mayr, Christian Indiveri, Giacomo Vassanelli, Stefano Prodromakis, Themistoklis Memristive synapses connect brain and silicon spiking neurons |
title | Memristive synapses connect brain and silicon spiking neurons |
title_full | Memristive synapses connect brain and silicon spiking neurons |
title_fullStr | Memristive synapses connect brain and silicon spiking neurons |
title_full_unstemmed | Memristive synapses connect brain and silicon spiking neurons |
title_short | Memristive synapses connect brain and silicon spiking neurons |
title_sort | memristive synapses connect brain and silicon spiking neurons |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7042282/ https://www.ncbi.nlm.nih.gov/pubmed/32098971 http://dx.doi.org/10.1038/s41598-020-58831-9 |
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