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Automated detection and analysis of neuronal persistent activity
1Department of Neuroscience, Graduate Program in Neuroscience, University of Minnesota, 321 Church St. SE, Minneapolis, MN 55455, USA.
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.
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