Instantaneous Cross-Correlation Analysis of Neural Ensembles with High Temporal Resolution

António R.C. Paiva, Il Park, José C. Príncipe, Justin C. Sanchez

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

One of the fundamental difficulties in neural assembly studies is the lack of an effective, high-resolution measure of the spatiotemporal structure in spike trains obtained from a single realization. This chapter proposes a systematic approach to estimate the cross-correlation (CC) of spike trains, over time and in only one realization. The solution lies in an alternate defi nition of cross-correlation which suggests that, rather than time averaging as is current practice, ensemble averaging should be used. This observation suggests a natural instantaneous CC (ICC) estimator as required for high temporal resolution and real-time ensemble analysis and decoding. Results are shown in simulated data sets and neural activity of rat motor cortical neurons during a behavioral task.

Original languageEnglish (US)
Title of host publicationIntroduction to Neural Engineering for Motor Rehabilitation
Publisherwiley
Pages183-198
Number of pages16
ISBN (Electronic)9781118628522
ISBN (Print)9780470916735
DOIs
StatePublished - Jul 15 2013

    Fingerprint

Keywords

  • Instantaneous cross-correlation (ICC)
  • Neural ensembles
  • Spike trains
  • Temporal resolution

ASJC Scopus subject areas

  • Biochemistry, Genetics and Molecular Biology(all)

Cite this

Paiva, A. R. C., Park, I., Príncipe, J. C., & Sanchez, J. C. (2013). Instantaneous Cross-Correlation Analysis of Neural Ensembles with High Temporal Resolution. In Introduction to Neural Engineering for Motor Rehabilitation (pp. 183-198). wiley. https://doi.org/10.1002/9781118628522.ch10