title: Automated detection and analysis of neuronal persistent activity.
abstract: Cortical neurons receive individual as well as synchronized synaptic events. The latter may drive a neuron into an active state where a persistently depolarized membrane potential lasts for several seconds. Visual inspection and manual detection of these persistent events is labor-intensive. We built a set of scripts in MATLAB with the goal of having a core software package for the systematic and objective detection of persistent neural activity out of large time-series data. This analysis software includes multiple steps, from a pre-processing stage, event detection, user-interactive detection reviewing, and filtering/graphing. Analysis scripts and brief usage information are freely available upon request.
authors: Department of Neuroscience, Graduate Program in Neuroscience, University of Minnesota, 321 Church St. SE, Minneapolis, MN 55455, USA.
authors: Marc
authors: M
authors: Parent
authors: Li-Lian
authors: LL
authors: Yuan
mesh_terms: D000200:Action Potentials / Q000502:physiology; D000818:Animals; D001921:Brain / Q000502:physiology*; D019706:Excitatory Postsynaptic Potentials / Q000502:physiology; D008564:Membrane Potentials / Q000502:physiology*; D009415:Nerve Net / Q000502:physiology; D009924:Organ Culture Techniques; D018408:Patch-Clamp Techniques / Q000379:methods*; D017397:Prefrontal Cortex / Q000166:cytology / Q000502:physiology; D017966:Pyramidal Cells / Q000502:physiology*; D051381:Rats; D012815:Signal Processing, Computer-Assisted; D012984:Software / Q000592:standards* / Q000639:trends; D012986:Software Validation