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Reaction-diffusion in the NEURON simulator

In order to support research on the role of cell biological principles (genomics, proteomics, signaling cascades and reaction dynamics) on the dynamics of neuronal response in health and disease, NEURON's Reaction-Diffusion (rxd) module in Python provides specification and simulation for these...

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Detalles Bibliográficos
Autores principales: McDougal, Robert A., Hines, Michael L., Lytton, William W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3828620/
https://www.ncbi.nlm.nih.gov/pubmed/24298253
http://dx.doi.org/10.3389/fninf.2013.00028
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author McDougal, Robert A.
Hines, Michael L.
Lytton, William W.
author_facet McDougal, Robert A.
Hines, Michael L.
Lytton, William W.
author_sort McDougal, Robert A.
collection PubMed
description In order to support research on the role of cell biological principles (genomics, proteomics, signaling cascades and reaction dynamics) on the dynamics of neuronal response in health and disease, NEURON's Reaction-Diffusion (rxd) module in Python provides specification and simulation for these dynamics, coupled with the electrophysiological dynamics of the cell membrane. Arithmetic operations on species and parameters are overloaded, allowing arbitrary reaction formulas to be specified using Python syntax. These expressions are then transparently compiled into bytecode that uses NumPy for fast vectorized calculations. At each time step, rxd combines NEURON's integrators with SciPy's sparse linear algebra library.
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spelling pubmed-38286202013-12-02 Reaction-diffusion in the NEURON simulator McDougal, Robert A. Hines, Michael L. Lytton, William W. Front Neuroinform Neuroscience In order to support research on the role of cell biological principles (genomics, proteomics, signaling cascades and reaction dynamics) on the dynamics of neuronal response in health and disease, NEURON's Reaction-Diffusion (rxd) module in Python provides specification and simulation for these dynamics, coupled with the electrophysiological dynamics of the cell membrane. Arithmetic operations on species and parameters are overloaded, allowing arbitrary reaction formulas to be specified using Python syntax. These expressions are then transparently compiled into bytecode that uses NumPy for fast vectorized calculations. At each time step, rxd combines NEURON's integrators with SciPy's sparse linear algebra library. Frontiers Media S.A. 2013-11-15 /pmc/articles/PMC3828620/ /pubmed/24298253 http://dx.doi.org/10.3389/fninf.2013.00028 Text en Copyright © 2013 McDougal, Hines and Lytton. http://creativecommons.org/licenses/by/3.0/ 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
McDougal, Robert A.
Hines, Michael L.
Lytton, William W.
Reaction-diffusion in the NEURON simulator
title Reaction-diffusion in the NEURON simulator
title_full Reaction-diffusion in the NEURON simulator
title_fullStr Reaction-diffusion in the NEURON simulator
title_full_unstemmed Reaction-diffusion in the NEURON simulator
title_short Reaction-diffusion in the NEURON simulator
title_sort reaction-diffusion in the neuron simulator
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3828620/
https://www.ncbi.nlm.nih.gov/pubmed/24298253
http://dx.doi.org/10.3389/fninf.2013.00028
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