title: Multiple neural spike train data analysis: state-of-the-art and future challenges.
abstract: Multiple electrodes are now a standard tool in neuroscience research that make it possible to study the simultaneous activity of several neurons in a given brain region or across different regions. The data from multi-electrode studies present important analysis challenges that must be resolved for optimal use of these neurophysiological measurements to answer questions about how the brain works. Here we review statistical methods for the analysis of multiple neural spike-train data and discuss future challenges for methodology research.
authors.affiliation: Neuroscience Statistics Research Laboratory, Department of Anesthesia and Critical Care, Massachusetts General Hospital, and Division of Health Sciences and Technology, Harvard Medical School, Boston, 02114, USA. brown@neurostat.mgh.harvard.edu
authors.forename: Emery N
authors.initials: EN
authors.lastname: Brown
authors.forename: Robert E
authors.initials: RE
authors.lastname: Kass
authors.forename: Partha P
authors.initials: PP
authors.lastname: Mitra
mesh_terms: D000200:Action Potentials / Q000502:physiology*; D000818:Animals; D001154:Art; D001931:Brain Mapping; D004594:Electrophysiology / Q000379:methods*; D006801:Humans; D008959:Models, Neurological; D009415:Nerve Net; D009474:Neurons / Q000502:physiology*; D013223:Statistics as Topic / Q000379:methods*; D013997:Time Factors