Analysis of between-trial and within-trial neural spiking dynamics

Gabriela Czanner, Uri T. Eden, Sylvia Wirth, Marianna Yanike, Wendy Suzuki, Emery N. Brown

Research output: Contribution to journalArticle

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 withintrial 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.

Original languageEnglish (US)
Pages (from-to)2672-2693
Number of pages22
JournalJournal of Neurophysiology
Volume99
Issue number5
DOIs
StatePublished - May 2008

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Linear Models
Neurons
Analysis of Variance
Neurophysiology
Haplorhini
Learning
Brain

ASJC Scopus subject areas

  • Physiology
  • Neuroscience(all)

Cite this

Czanner, G., Eden, U. T., Wirth, S., Yanike, M., Suzuki, W., & Brown, E. N. (2008). Analysis of between-trial and within-trial neural spiking dynamics. Journal of Neurophysiology, 99(5), 2672-2693. https://doi.org/10.1152/jn.00343.2007

Analysis of between-trial and within-trial neural spiking dynamics. / Czanner, Gabriela; Eden, Uri T.; Wirth, Sylvia; Yanike, Marianna; Suzuki, Wendy; Brown, Emery N.

In: Journal of Neurophysiology, Vol. 99, No. 5, 05.2008, p. 2672-2693.

Research output: Contribution to journalArticle

Czanner, G, Eden, UT, Wirth, S, Yanike, M, Suzuki, W & Brown, EN 2008, 'Analysis of between-trial and within-trial neural spiking dynamics', Journal of Neurophysiology, vol. 99, no. 5, pp. 2672-2693. https://doi.org/10.1152/jn.00343.2007
Czanner, Gabriela ; Eden, Uri T. ; Wirth, Sylvia ; Yanike, Marianna ; Suzuki, Wendy ; Brown, Emery N. / Analysis of between-trial and within-trial neural spiking dynamics. In: Journal of Neurophysiology. 2008 ; Vol. 99, No. 5. pp. 2672-2693.
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