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Get the Rhythm: Modeling Neuronal Activity

The simulation system NEURON is a common research tool for constructing structurally and functionally realistic models of neuronal systems. NEURON allows the development of simulations at any level of complexity, from subcellular components to single cells, cellular networks, and system-level models...

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Detalles Bibliográficos
Autores principales: Meuth, Patrick, Meuth, Sven G., Jacobi, Daniel, Broicher, Tilman, Pape, Hans-Christian, Budde, Thomas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Faculty for Undergraduate Neuroscience 2005
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3592624/
https://www.ncbi.nlm.nih.gov/pubmed/23493337
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author Meuth, Patrick
Meuth, Sven G.
Jacobi, Daniel
Broicher, Tilman
Pape, Hans-Christian
Budde, Thomas
author_facet Meuth, Patrick
Meuth, Sven G.
Jacobi, Daniel
Broicher, Tilman
Pape, Hans-Christian
Budde, Thomas
author_sort Meuth, Patrick
collection PubMed
description The simulation system NEURON is a common research tool for constructing structurally and functionally realistic models of neuronal systems. NEURON allows the development of simulations at any level of complexity, from subcellular components to single cells, cellular networks, and system-level models. Focusing on an in vitro cell model of a single, acutely isolated thalamic neuron, we used the simulation environment to address and to discuss the following questions in an undergraduate course: (i) Which parts are required to design a single compartment with passive electrical properties? (ii) Which components are necessary to model a single action potential or a train of action potentials? (iii) What can we learn from voltage-clamp and current-clamp experiments? (iv) What kind of cellular parameters are accessible from the modeling data? (v) What are the differences between single-compartment models and multi-compartment models? (vi) What are the advantages and disadvantages of artificial cell models? (vii) Can realistic modeling open up new strategies to discover the way that neurons process information?
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spelling pubmed-35926242013-03-14 Get the Rhythm: Modeling Neuronal Activity Meuth, Patrick Meuth, Sven G. Jacobi, Daniel Broicher, Tilman Pape, Hans-Christian Budde, Thomas J Undergrad Neurosci Educ Article The simulation system NEURON is a common research tool for constructing structurally and functionally realistic models of neuronal systems. NEURON allows the development of simulations at any level of complexity, from subcellular components to single cells, cellular networks, and system-level models. Focusing on an in vitro cell model of a single, acutely isolated thalamic neuron, we used the simulation environment to address and to discuss the following questions in an undergraduate course: (i) Which parts are required to design a single compartment with passive electrical properties? (ii) Which components are necessary to model a single action potential or a train of action potentials? (iii) What can we learn from voltage-clamp and current-clamp experiments? (iv) What kind of cellular parameters are accessible from the modeling data? (v) What are the differences between single-compartment models and multi-compartment models? (vi) What are the advantages and disadvantages of artificial cell models? (vii) Can realistic modeling open up new strategies to discover the way that neurons process information? Faculty for Undergraduate Neuroscience 2005-10-15 /pmc/articles/PMC3592624/ /pubmed/23493337 Text en Copyright © 2005 Faculty for Undergraduate Neuroscience
spellingShingle Article
Meuth, Patrick
Meuth, Sven G.
Jacobi, Daniel
Broicher, Tilman
Pape, Hans-Christian
Budde, Thomas
Get the Rhythm: Modeling Neuronal Activity
title Get the Rhythm: Modeling Neuronal Activity
title_full Get the Rhythm: Modeling Neuronal Activity
title_fullStr Get the Rhythm: Modeling Neuronal Activity
title_full_unstemmed Get the Rhythm: Modeling Neuronal Activity
title_short Get the Rhythm: Modeling Neuronal Activity
title_sort get the rhythm: modeling neuronal activity
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3592624/
https://www.ncbi.nlm.nih.gov/pubmed/23493337
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