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Python code for performing unsupervised learning on neural time-series data

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README

Author: Ali Zaidi, MPI for Biological Cybernetics

Version: 0.1

Date: 05.08.2019

Developed as part of the neural event detection and classification toolkit.

(C) All Rights reserved

Neural event detection based on spectral contrasting

What is this repo for?

The repository houses code for performing unspuervised learning on a neural signal

How do I get set up?

  1. Clone the repo in a local folder
  2. Add neural data in the ./data folder (see the readme.md file for info on data structures)
  3. Start python instance in root directory and import modules (e.g. "from src import signal_processing")

Who do I talk to?

For bugs or issues with the code, get in touch with Ali [ali dot zaidi at tue dot mpg dot de]

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Python code for performing unsupervised learning on neural time-series data

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