Assessment of bursting activity and interspike intervals variability: a case study for methodological comparison.
The detection and characterization of bursting activity remains a topic where no consensual definition has been reached so far. We compare here three different approaches of spike trains variability: statistical characterization (average frequency, coefficient of variation), burst detection (Poisson and rank surprise) and multi-scale analysis (detrended fluctuations analysis). Using both real and simulated data, we show that Poisson surprise provides information closely related to the coefficient of variation and that rank surprise detects significant bursts which are associated with long-range correlations. Since these long-range correlations are only adequately characterized with multi-scale analysis, this study emphasizes the complementarity of these approaches for the complete characterization of spike trains.
Robin
Kristelle
K
Ecole Supérieure de Physique et de Chimie Industrielles de la ville de Paris, France.
Maurice
Nicolas
N
Degos
Bertrand
B
Deniau
Jean-Michel
JM
Martinerie
Jacques
J
Pezard
Laurent
L
D000200:Action Potentials / Q000187:drug effects; D000465:Algorithms; D000818:Animals; D001552:Benzazepines / Q000494:pharmacology; D003198:Computer Simulation; D018492:Dopamine Antagonists / Q000494:pharmacology; D008839:Microelectrodes; D008959:Models, Neurological; D009474:Neurons / Q000187:drug effects / Q000502:physiology*; D016012:Poisson Distribution; D020891:Raclopride / Q000494:pharmacology; D051381:Rats; D013378:Substantia Nigra / Q000187:drug effects / Q000502:physiology; D013997:Time Factors
D001552:Benzazepines; D018492:Dopamine Antagonists; C534628:SCH 23390; D020891:Raclopride