Czanner, Gabriela, Eden, Uri T., Wirth, Sylvia, Yanike, Marianna, Suzuki, Wendy A. and Brown, E. N. (Emery N.). (2008) Analysis of between-trial and within-trial neural spiking dynamics. Journal of Neurophysiology, Vol.99 (No.5). pp. 2672-2693. ISSN 0022-3077

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Abstract

Recording single-neuron activity from a specific brain region across multiple trials in response to the same stimulus or execution of the same behavioral task is a common neurophysiology protocol. The raster plots of the spike trains often show strong between-trial and within-trial dynamics, yet the standard analysis of these data with the peristimulus time histogram (PSTH) and ANOVA do not consider between-trial dynamics. By itself, the PSTH does not provide a framework for statistical inference. We present a state-space generalized linear model (SS-GLM) to formulate a point process representation of between-trial and within-trial neural spiking dynamics. Our model has the PSTH as a special case. We provide a framework for model estimation, model selection, goodness-of-fit analysis, and inference. In an analysis of hippocampal neural activity recorded from a monkey performing a location-scene association task, we demonstrate how the SS-GLM may be used to answer frequently posed neurophysiological questions including, What is the nature of the between-trial and within-trial task-specific modulation of the neural spiking activity? How can we characterize learning-related neural dynamics? What are the timescales and characteristics of the neuron's biophysical properties? Our results demonstrate that the SS-GLM is a more informative tool than the PSTH and ANOVA for analysis of multiple trial neural responses and that it provides a quantitative characterization of the between-trial and within-trial neural dynamics readily visible in raster plots, as well as the less apparent fast (1-10 ms), intermediate (11-20 ms), and longer (>20 ms) timescale features of the neuron's biophysical properties.

Item Type:	Journal Article
Subjects:	R Medicine > RC Internal medicine > RC0321 Neuroscience. Biological psychiatry. Neuropsychiatry Q Science > QP Physiology
Divisions:	Faculty of Science > Statistics
Library of Congress Subject Headings (LCSH):	Neural networks (Neurobiology), Sensory neurons
Journal or Publication Title:	Journal of Neurophysiology
Publisher:	American Physiological Society
ISSN:	0022-3077
Date:	May 2008
Volume:	Vol.99
Number:	No.5
Number of Pages:	22
Page Range:	pp. 2672-2693
Identification Number:	10.1152/jn.00343.2007
Status:	Peer Reviewed
Publication Status:	Published
Access rights to Published version:	Restricted or Subscription Access
Funder:	National Institutes of Health (U.S.) (NIH), McKnight Foundation, National Science Foundation (U.S.) (NSF), Fondation pour la recherche médicale
Grant number:	DA- 015644 (NIH), MH-59733 (NIH), MH-58847 (NIH), IIS-0643995 (NSF)
URI:	http://wrap.warwick.ac.uk/id/eprint/30070

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