Toward blueprints for network architecture, biophysical dynamics, and signal transduction

We review mathematical aspects of biophysical dynamics, signal transduction and network architecture that have been used to uncover functionally significant relations between the dynamics of single neurons and the networks they compose. We focus on examples that combine insights from these three ar...

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Main Authors: Coombes, Stephen, Doiron, Brent, Josic, Kresimir, Shea-Brown, Eric
Format: Article
Published: 2006
Online Access:https://eprints.nottingham.ac.uk/414/
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author Coombes, Stephen
Doiron, Brent
Josic, Kresimir
Shea-Brown, Eric
author_facet Coombes, Stephen
Doiron, Brent
Josic, Kresimir
Shea-Brown, Eric
author_sort Coombes, Stephen
building Nottingham Research Data Repository
collection Online Access
description We review mathematical aspects of biophysical dynamics, signal transduction and network architecture that have been used to uncover functionally significant relations between the dynamics of single neurons and the networks they compose. We focus on examples that combine insights from these three areas to expand our understanding of systems neuroscience. These range from single neuron coding to models of decision making and electrosensory discrimination by networks and populations, as well as coincidence detection in pairs of dendrites and the dynamics of large networks of excitable dendritic spines. We conclude by describing some of the challenges that lie ahead as the applied mathematics community seeks to provide the tools that will ultimately underpin systems neuroscience.
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spelling nottingham-4142020-05-04T20:29:22Z https://eprints.nottingham.ac.uk/414/ Toward blueprints for network architecture, biophysical dynamics, and signal transduction Coombes, Stephen Doiron, Brent Josic, Kresimir Shea-Brown, Eric We review mathematical aspects of biophysical dynamics, signal transduction and network architecture that have been used to uncover functionally significant relations between the dynamics of single neurons and the networks they compose. We focus on examples that combine insights from these three areas to expand our understanding of systems neuroscience. These range from single neuron coding to models of decision making and electrosensory discrimination by networks and populations, as well as coincidence detection in pairs of dendrites and the dynamics of large networks of excitable dendritic spines. We conclude by describing some of the challenges that lie ahead as the applied mathematics community seeks to provide the tools that will ultimately underpin systems neuroscience. 2006-09 Article PeerReviewed Coombes, Stephen, Doiron, Brent, Josic, Kresimir and Shea-Brown, Eric (2006) Toward blueprints for network architecture, biophysical dynamics, and signal transduction.
spellingShingle Coombes, Stephen
Doiron, Brent
Josic, Kresimir
Shea-Brown, Eric
Toward blueprints for network architecture, biophysical dynamics, and signal transduction
title Toward blueprints for network architecture, biophysical dynamics, and signal transduction
title_full Toward blueprints for network architecture, biophysical dynamics, and signal transduction
title_fullStr Toward blueprints for network architecture, biophysical dynamics, and signal transduction
title_full_unstemmed Toward blueprints for network architecture, biophysical dynamics, and signal transduction
title_short Toward blueprints for network architecture, biophysical dynamics, and signal transduction
title_sort toward blueprints for network architecture, biophysical dynamics, and signal transduction
url https://eprints.nottingham.ac.uk/414/