Applying resampling methods to neurophysiological data

Eran Stark, Moshe Abeles

    Research output: Contribution to journalArticlepeer-review

    22 Scopus citations

    Abstract

    Standard statistical techniques do not always provide answers to complex physiological questions because often there are no parametric or non-parametric distributions on which significance can be estimated. Resampling methods provide a battery of tests that can be used in such circumstances. In the past few years these methods have been explored theoretically and are now employed frequently. In this paper we describe a unified framework for the use of such methods in the context of neurophysiological data analysis. We construct specific tests for placing confidence limits on estimates of mutual information and on parameters of circular data, and we present procedures for testing hypotheses on circular and on partitioned data. These tests are explained in detail and illustrated with real data from experiments with behaving monkeys.

    Original languageEnglish
    Pages (from-to)133-144
    Number of pages12
    JournalJournal of Neuroscience Methods
    Volume145
    Issue number1-2
    DOIs
    StatePublished - 30 Jun 2005

    Bibliographical note

    Funding Information:
    We thank Moshe Nakar for help with the construction of the experimental setup, Varda Sharkansky for technical help, and Itay Asher and Rotem Drori for help in carrying out the experiments. This research was supported in part by a Center of Excellence grant (8006/00) administered by the Israel Science Foundation, the Horowitz Foundation, RICH center, GIF, and DIP.

    Funding

    We thank Moshe Nakar for help with the construction of the experimental setup, Varda Sharkansky for technical help, and Itay Asher and Rotem Drori for help in carrying out the experiments. This research was supported in part by a Center of Excellence grant (8006/00) administered by the Israel Science Foundation, the Horowitz Foundation, RICH center, GIF, and DIP.

    FundersFunder number
    Center of Excellence8006/00
    Horowitz Foundation for Social Policy
    German-Israeli Foundation for Scientific Research and Development
    Israel Science Foundation

      Keywords

      • Circular statistics
      • Confidence limits
      • Information theory
      • Monkey recordings
      • Non-parametric statistics
      • Prehension
      • Premotor cortex
      • Spatial organization

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