Neural mass spatio-temporal modeling from high-density electrode array recordings

Alyson K. Fletcher, Jon Viventi, Sundeep Rangan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Neural mass models provide an attractive framework for modeling complex behavior in cortical circuits. The models are based on describing the dynamics of large neural populations through the space and time evolution of a small number of key aggregate statistical quantities. Fitting these models to electrode array recordings can provide insight into connectivity and structure of neural circuits as well as the response of these circuits to stimuli. However, neural mass models are fundamentally nonlinear dynamical systems with large numbers of hidden states, and validating the models on actual recordings and estimating the key parameters remains challenging. This work proposes a novel method for systematically identifying neural mass models that is particularly well-suited for high-density micro-electrocorticographic (μECoG) data. The methodology requires minimal assumptions on the model, and can automatically uncover the underlying components in the neural populations We discuss possible applications to in vivo recordings from feline visual cortex using a recently-developed, high-density 360 contact flexible electrode array with 500 μm inter-electrode spacing.

Original languageEnglish (US)
Title of host publication2015 Information Theory and Applications Workshop, ITA 2015 - Conference Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages319-321
Number of pages3
ISBN (Electronic)9781479971954
DOIs
StatePublished - Oct 27 2015
EventInformation Theory and Applications Workshop, ITA 2015 - San Diego, United States
Duration: Feb 1 2015Feb 6 2015

Publication series

Name2015 Information Theory and Applications Workshop, ITA 2015 - Conference Proceedings

Other

OtherInformation Theory and Applications Workshop, ITA 2015
CountryUnited States
CitySan Diego
Period2/1/152/6/15

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Keywords

  • Arrays
  • Biological system modeling
  • Brain models
  • Electrodes
  • Integrated circuit modeling
  • Sociology

ASJC Scopus subject areas

  • Computer Science Applications
  • Information Systems

Cite this

Fletcher, A. K., Viventi, J., & Rangan, S. (2015). Neural mass spatio-temporal modeling from high-density electrode array recordings. In 2015 Information Theory and Applications Workshop, ITA 2015 - Conference Proceedings (pp. 319-321). [7309007] (2015 Information Theory and Applications Workshop, ITA 2015 - Conference Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ITA.2015.7309007