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https://github.com/brody-lab/jbreda_kilosort

Pipeline that allows for tetrode recordings to be sorted in Kilosort

https://github.com/brody-lab/jbreda_kilosort

Science Score: 13.0%

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Last synced: 10 months ago · JSON representation

Repository

Pipeline that allows for tetrode recordings to be sorted in Kilosort

Basic Info
  • Host: GitHub
  • Owner: Brody-Lab
  • Language: Jupyter Notebook
  • Default Branch: master
  • Homepage:
  • Size: 2.33 MB
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Created about 6 years ago · Last pushed over 3 years ago
Metadata Files
Readme

README.md

Overview

Data processing pipeline for spike sorting electrophysiological data collected with bluetooth, wireless tetrodes probes (32 bundles, 128 channels). Spike sorting is performed using Kilosort2 with specific adjustments for use with wireless tetrode data (since it was designed for electrophysiological probes with different geometries).

This pipeline was written by Jess Breda in in Spring 2020 as part of a rotation project for the Brody lab.

kilosort_ex

Highlights

  • pipeline with customized settings that allows you to utilize the power of kilosort2 with tetrode data
  • option to run on GPU cluster
  • functions for optimizing inputs and parameters for kilosort2

Steps

kilosort_pipeline

There are two primary steps to running the pipeline: - (1) pre-processing - (1.1) file type conversion - (1.2) tetrode-specific filtering - (2) spike sorting - (2.1) using kilosort2 with parameters and settings optimized for tetrodes

Step by step directions on how to run can be found here and detailed function documentation can be found here.

## Usage git clone https://github.com/Brody-Lab/jbreda_kilosort

Owner

  • Name: Brody-Lab
  • Login: Brody-Lab
  • Kind: organization

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