Two-way ANOVA to identify impacts of multiple interactive behavioral factors on the neuronal population dependency during the reaching motion

H. Zhang, Nong Ye, J. He, A. Roontiva, J. Aguayo

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

4 Scopus citations

Abstract

Brain neural activities interact with behaviors. The contribution of this paper is that we investigate the significance of the impacts of multiple behavioral factors: target direction (left or right) and obstacle (presence or absence), and their interaction on the dependency among a neuronal ensemble in the dorsal premotor (PMd) area of a monkey during a reaching motion. We first use bootstrapping to extract multiple resamples from successful trials. Then we use redundancy to measure dependency in each resample. We use ANOVA to investigate the significance of the impacts of these two behavioral factors and their interaction on the redundancy. The ANOVA shows that these two behavioral factors and their interaction have significant impacts on the single feature of neural activity. The same significance of impacts is identified in another neuronal ensemble assessed in another experimental session. Its biological explanation is given.

Original languageEnglish (US)
Title of host publicationProceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08
PublisherIEEE Computer Society
Pages1335-1338
Number of pages4
ISBN (Print)9781424418152
DOIs
StatePublished - 2008
Event30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - Vancouver, BC, Canada
Duration: Aug 20 2008Aug 25 2008

Publication series

NameProceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - "Personalized Healthcare through Technology"

Other

Other30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08
CountryCanada
CityVancouver, BC
Period8/20/088/25/08

ASJC Scopus subject areas

  • Health Informatics
  • Computer Vision and Pattern Recognition
  • Signal Processing
  • Biomedical Engineering

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  • Cite this

    Zhang, H., Ye, N., He, J., Roontiva, A., & Aguayo, J. (2008). Two-way ANOVA to identify impacts of multiple interactive behavioral factors on the neuronal population dependency during the reaching motion. In Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 (pp. 1335-1338). [4649411] (Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - "Personalized Healthcare through Technology"). IEEE Computer Society. https://doi.org/10.1109/iembs.2008.4649411