Analysis of the dendritic integration of excitatory and inhibitory inputs using cable models

Songting Li, Douglas Zhou, David Cai

Research output: Contribution to journalArticle

Abstract

We address the question of how a neuron integrates excitatory (E) and inhibitory (I) synaptic inputs from different dendritic sites. For an idealized neuron model with an unbranched dendritic cable, we construct its Green's function and carry out an asymptotic analysis to obtain its solutions. Using these asymptotic solutions, in the presence of E and I inputs, we can successfully reveal the underlying mechanisms of a dendritic integration rule, which was discovered in a recent experiment. Our analysis can be extended to the multi-branch case to characterize the E-I dendritic integration on any branches. The novel characterization is confirmed by the numerical simulation of a biologically realistic neuron.

Original languageEnglish (US)
Pages (from-to)565-575
Number of pages11
JournalCommunications in Mathematical Sciences
Volume13
Issue number2
DOIs
StatePublished - 2015

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Cable
Neurons
Neuron
Cables
Branch
Integration rule
Neuron Model
Asymptotic Solution
Asymptotic Analysis
Green's function
Asymptotic analysis
Integrate
Numerical Simulation
Model
Experiment
Computer simulation
Experiments

Keywords

  • Asymptotic solution
  • Cable model
  • Dendritic integration
  • Green's function

ASJC Scopus subject areas

  • Mathematics(all)
  • Applied Mathematics

Cite this

Analysis of the dendritic integration of excitatory and inhibitory inputs using cable models. / Li, Songting; Zhou, Douglas; Cai, David.

In: Communications in Mathematical Sciences, Vol. 13, No. 2, 2015, p. 565-575.

Research output: Contribution to journalArticle

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