Relating network connectivity to dynamics: opportunities and challenges for theoretical neuroscience

Carina Curto, Katherine Morrison

Research output: Contribution to journalReview article

Abstract

We review recent work relating network connectivity to the dynamics of neural activity. While concepts stemming from network science provide a valuable starting point, the interpretation of graph-theoretic structures and measures can be highly dependent on the dynamics associated to the network. Properties that are quite meaningful for linear dynamics, such as random walk and network flow models, may be of limited relevance in the neuroscience setting. Theoretical and computational neuroscience are playing a vital role in understanding the relationship between network connectivity and the nonlinear dynamics associated to neural networks.

Original languageEnglish (US)
Pages (from-to)11-20
Number of pages10
JournalCurrent Opinion in Neurobiology
Volume58
DOIs
StatePublished - Oct 2019

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Neurosciences
Nonlinear Dynamics

All Science Journal Classification (ASJC) codes

  • Neuroscience(all)

Cite this

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abstract = "We review recent work relating network connectivity to the dynamics of neural activity. While concepts stemming from network science provide a valuable starting point, the interpretation of graph-theoretic structures and measures can be highly dependent on the dynamics associated to the network. Properties that are quite meaningful for linear dynamics, such as random walk and network flow models, may be of limited relevance in the neuroscience setting. Theoretical and computational neuroscience are playing a vital role in understanding the relationship between network connectivity and the nonlinear dynamics associated to neural networks.",
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Relating network connectivity to dynamics : opportunities and challenges for theoretical neuroscience. / Curto, Carina; Morrison, Katherine.

In: Current Opinion in Neurobiology, Vol. 58, 10.2019, p. 11-20.

Research output: Contribution to journalReview article

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