Neuroinformatics

, Volume 4, Issue 1, pp 119–128 | Cite as

Dynamic phenotypes

Time series analysis techniques for characterizing neuronal and behavioral dynamics
  • Hemant Bokil
  • Ofer Tchernichovsky
  • Partha P. Mitra
Commentary

Abstract

We consider quantitative measures of behavioral and neuronal dynamics as a means of characterizing phenotypes. Such measures are important from a scientific perspective; because understanding brain function is contingent on understanding the link between the dynamics of the nervous system and behavioral dynamics. They are also important from a biomedical perspective because they provide a contrast to purely psychological characterizations of phenotype or characterizations via static brain images or maps, and are a potential means for differential diagnoses of neuropsychiatric illnesses. After a brief presentation of background work and some current advances, we suggest that more attention needs to be paid to dynamic characterizations of phenotypes. We will discuss some of the relevant time series analysis tools.

Index Entries

Time series analysis spectral estimation statistics songbird Parkinson's disease electrophysiology 

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Copyright information

© Humana Press Inc 2006

Authors and Affiliations

  • Hemant Bokil
    • 1
  • Ofer Tchernichovsky
    • 2
  • Partha P. Mitra
    • 1
  1. 1.Cold Spring Harbor LaboratoryCold Spring Harbor
  2. 2.The City College of New YorkNew York

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