A Practical Guide to Information Analysis of Spike Trains

  • Gianni Pola
  • Simon R. Schultz
  • Rasmus S. Petersen
  • Stefano Panzeri

Abstract

Information Theory enables different candidate coding strategies to be quantified and compared, and hence is a natural framework for studying neural coding. The main difficulty is that estimates of information from experimental data are prone to systematic sampling error. In this chapter, we present a step-by-step guide to how this error can be addressed, and reliable information estimates obtained.

Key words

Information Theory Spike Timing Neural Coding. 

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Copyright information

© Springer Science+Business Media New York 2003

Authors and Affiliations

  • Gianni Pola
    • 1
  • Simon R. Schultz
    • 2
  • Rasmus S. Petersen
    • 3
  • Stefano Panzeri
    • 1
  1. 1.Department of PsychologyUniversity of Newcastle upon Tyne, The Henry Wellcome Building for Neuroecology, Medical School, Framlington PlaceNewcastle upon TyneUK
  2. 2.Howard Hughes Medical Institute and Center for Neural ScienceNew York UniversityNew YorkUSA
  3. 3.Cognitive Neuroscience SectorInternational School for Advanced StudiesItaly

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