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Fig. 3 | Bioelectronic Medicine

Fig. 3

From: Framework for automated sorting of neural spikes from Neuralynx-acquired tetrode recordings in freely-moving mice

Fig. 3

Automated sorting framework. a, The files raw.mda, params.json, and geom.csv are imported into the MountainSort pipeline, which includes both pre-processing and spike sorting. The MountainSort pipeline outputs firings.mda files, which contain the unit IDs and timestamps of sorted spikes. The designated input and output folders are entered into the runsort.sh script, as depicted in the bottom of the panel. b, Using the m2021_ms_out_timestamps.m script, sorted files are split back up into the original recording sessions according to the t_info.csv file. Split files are saved as spiketimes.txt, for easy transfer to other software package for final analysis. The m2021_ms_out_timestamps.m script is shown in the bottom of the panel. c, Output spiketimes.txt files are formatted as two columns of unit ID, timestamp pairs

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