title: Neural assemblies: technical issues, analysis, and modeling.
abstract: Neurons often work together to compute and process information, and neural assemblies arise from synaptic interactions and neural circuits. One way to study neural assemblies is to simultaneously record from several or many neurons and study the statistical relations among their spike trains. From this analysis researchers can try to understand the nature of the assemblies, which can also lead to attempts at modeling the underlying mechanisms. In this review we discuss three important parts of this process: (1) technical issues related to simultaneously recording more than one single unit, (2) ways of analyzing the data and (3) recent models offering hypothetical mechanisms of neural assemblies, especially models which incorporate feedback.
authors.affiliation: Department of Neuroscience, University of Pennsylvania, Philadelphia 19104, USA. george@mulab.physiol.upenn.edu
authors.forename: G L
authors.initials: GL
authors.lastname: Gerstein
authors.forename: K L
authors.initials: KL
authors.lastname: Kirkland
mesh_terms: D000200:Action Potentials / Q000502:physiology*; D000465:Algorithms; D000818:Animals; D002490:Central Nervous System / Q000502:physiology*; D005246:Feedback / Q000502:physiology; D006801:Humans; D008959:Models, Neurological; D009415:Nerve Net / Q000502:physiology*; D009474:Neurons / Q000502:physiology*