BMC Neuroscience

, 8:P69 | Cite as

Relationship between synaptic and functional connections of a local cortical network model

Open Access
Poster presentation

Keywords

Model Network Dynamical Behavior Neuronal Activity Network Topology Neuronal Network 

Synaptic connectivity must have a significant impact on the dynamical behavior of neuronal networks and neural information processing. However, not much is known about the relation between neuronal activity and synaptic connectivity except for networks with simple connectivity, such as all-to-all or random connections. To clarify the issue, we first constructed a computational model of a local cortical network with realistic neuron models and systematically varied synaptic connections in a paradigm of the "small-world" network. Numerical simulations with the model showed spike activities depended on the network topology as well as the strengths of synaptic connections. In particular, the degree of pairwise spike synchrony, spatially distributed, characterizes the network connectivity. Therefore, we next tried to estimate the underlying synaptic structure based on spike data evoked by the model network. We defined functional connections with a measure of the pairwise spike synchrony, the coherence index, to discuss how the topology of the functional connections is related to that of synaptic connections.

Copyright information

© Kitano et al; licensee BioMed Central Ltd. 2007

This article is published under license to BioMed Central Ltd.

Authors and Affiliations

  • Katsunori Kitano
    • 1
  • Kazuhiro Yamada
    • 2
  • Tomoki Fukai
    • 3
  1. 1.Department of Human and Computer IntelligenceRitsumeikan UniversityKusatsuJapan
  2. 2.Graduate School of Science and Engineering, Ritsumeikan UniversityKusatsuJapan
  3. 3.Laboratory for Neural Circuit Theory, RIKEN Brain Science InstituteWakoJapan

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