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Neuronal Waveform Classification

Overview

This notebook presents an additional analysis performed for the Complex Systems course project at Shahid Beheshti University, half of which was cotaught by Dr. Reza Lashgari on neurobiology and experimental neuroscience. The goal of this exercise is to classify neuronal waveforms using KMeans. The data is presented as a .mat file, consisting of 64 channels. The code was fully implemented by the author as part of an independent exploration of neural signal properties.

Files

  • Waveform-Classification.ipynb* — Main notebook with analysis and plots

Dependencies

  • Python 3.x
  • NumPy
  • Matplotlib
  • (Optional) Jupyter Notebook

Author

All code and analysis were written by Rozhin Mohammadikian as part of a Complex Systems coursework project.

License

This project is provided for academic and educational use only.

About

Code for classifiying neuronal waveforms with feature extraction and KMeans.

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