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Markov Chain Abstractions of Electrochemical Reaction-Diffusion in Synaptic Transmission for Neuromorphic Computing

Progress in computational neuroscience toward understanding brain function is challenged both by the complexity of molecular-scale electrochemical interactions at the level of individual neurons and synapses and the dimensionality of network dynamics across the brain covering a vast range of spatial...

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Autores principales: Wagner, Margot, Bartol, Thomas M., Sejnowski, Terrence J., Cauwenberghs, Gert
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8667025/
https://www.ncbi.nlm.nih.gov/pubmed/34912188
http://dx.doi.org/10.3389/fnins.2021.698635
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author Wagner, Margot
Bartol, Thomas M.
Sejnowski, Terrence J.
Cauwenberghs, Gert
author_facet Wagner, Margot
Bartol, Thomas M.
Sejnowski, Terrence J.
Cauwenberghs, Gert
author_sort Wagner, Margot
collection PubMed
description Progress in computational neuroscience toward understanding brain function is challenged both by the complexity of molecular-scale electrochemical interactions at the level of individual neurons and synapses and the dimensionality of network dynamics across the brain covering a vast range of spatial and temporal scales. Our work abstracts an existing highly detailed, biophysically realistic 3D reaction-diffusion model of a chemical synapse to a compact internal state space representation that maps onto parallel neuromorphic hardware for efficient emulation at a very large scale and offers near-equivalence in input-output dynamics while preserving biologically interpretable tunable parameters.
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spelling pubmed-86670252021-12-14 Markov Chain Abstractions of Electrochemical Reaction-Diffusion in Synaptic Transmission for Neuromorphic Computing Wagner, Margot Bartol, Thomas M. Sejnowski, Terrence J. Cauwenberghs, Gert Front Neurosci Neuroscience Progress in computational neuroscience toward understanding brain function is challenged both by the complexity of molecular-scale electrochemical interactions at the level of individual neurons and synapses and the dimensionality of network dynamics across the brain covering a vast range of spatial and temporal scales. Our work abstracts an existing highly detailed, biophysically realistic 3D reaction-diffusion model of a chemical synapse to a compact internal state space representation that maps onto parallel neuromorphic hardware for efficient emulation at a very large scale and offers near-equivalence in input-output dynamics while preserving biologically interpretable tunable parameters. Frontiers Media S.A. 2021-11-29 /pmc/articles/PMC8667025/ /pubmed/34912188 http://dx.doi.org/10.3389/fnins.2021.698635 Text en Copyright © 2021 Wagner, Bartol, Sejnowski and Cauwenberghs. https://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) and the copyright owner(s) 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
Wagner, Margot
Bartol, Thomas M.
Sejnowski, Terrence J.
Cauwenberghs, Gert
Markov Chain Abstractions of Electrochemical Reaction-Diffusion in Synaptic Transmission for Neuromorphic Computing
title Markov Chain Abstractions of Electrochemical Reaction-Diffusion in Synaptic Transmission for Neuromorphic Computing
title_full Markov Chain Abstractions of Electrochemical Reaction-Diffusion in Synaptic Transmission for Neuromorphic Computing
title_fullStr Markov Chain Abstractions of Electrochemical Reaction-Diffusion in Synaptic Transmission for Neuromorphic Computing
title_full_unstemmed Markov Chain Abstractions of Electrochemical Reaction-Diffusion in Synaptic Transmission for Neuromorphic Computing
title_short Markov Chain Abstractions of Electrochemical Reaction-Diffusion in Synaptic Transmission for Neuromorphic Computing
title_sort markov chain abstractions of electrochemical reaction-diffusion in synaptic transmission for neuromorphic computing
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8667025/
https://www.ncbi.nlm.nih.gov/pubmed/34912188
http://dx.doi.org/10.3389/fnins.2021.698635
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