04. Manual spike sort

Automatic spike sorting does not always ensure high-quality results. To maintain accuracy, human visual inspection is necessary to identify and remove noise spikes and merge or separate clusters appropriately. We utilize the wave_clus tool to facilitate this process.

Input Data:

Experiment-<exp_id1>-<exp_id2>-...
  - CSC_micro_spikes
    - G[A-D][1-8]-<channel_name>_spikes.mat
    - times_G[A-D][1-8]-<channel_name>.mat

Output Data:

Experiment-<exp_id1>-<exp_id2>-...
  - CSC_micro_spikes
    - times_manual_G[A-D][1-8]-<channel_name>.mat

resources:

A novel and fully automatic spike sorting implementation with variable number of features. F. J. Chaure, H. G. Rey and R. Quian Quiroga. Journal of Neurophysiology; 2018. https://doi.org/10.1152/jn.00339.2018

cross correlogram: https://www.med.upenn.edu/mulab/crosscorrelation.html