Thu, 21 Aug 2008 11:03:01 BST CiteULike: nelmors Yanike http://www.citeulike.org/user/nelmor/author/Yanike CiteULike.org en-gb Copyright © 2004-2008 citeulike.org http://www.citeulike.org/user/nelmor/article/2797291 <i>J Neurophysiol, Vol. 99, No. 5. (1 May 2008), pp. 2672-2693.</i><br /><br />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. 10.1152/jn.00343.2007 Analysis of Between-Trial and Within-Trial Neural Spiking Dynamics Gabriela Czanner Uri Eden Sylvia Wirth Marianna Yanike Wendy Suzuki Emery Brown doi:10.1152/jn.00343.2007 J Neurophysiol, Vol. 99, No. 5. (1 May 2008), pp. 2672-2693. 2008-05-14T09:52:24-00:00 2008 J Neurophysiol 99 5 2672 2693 analysis in-vivo learning methods time