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Cortex-wide Fluorescence Decoding

This repository hosts the codes for decoding of cortex-wide brain activity from local recordings of neural potentials. Model Schematic

Publication

Liu, X., Ren, C., Huang, Z., Wilson, M., Kim, J.H., Lu, Y., Ramezani, M., Komiyama, T. and Kuzum, D., 2021. Decoding of cortex-wide brain activity from local recordings of neural potentials. Journal of Neural Engineering, 18(6), p.066009.

  • Link to the published paper: Here
  • Link to the bioRxiv preprint: Here

Dependencies

Running the code requires below dependencies:

Pytorch v1.1
NumPy
SciPy
h5py

Usage Guide

  1. Download the dataset and store it in the "Data" folder.
  2. Run "ECoG_Ca_decoding_example.py" to train the model for decoding tasks.
  3. The decoding results and the models will be saved in the "saved_results" folder.

The Wide-field Imaging and LFP Data

Link to the preprocessed Ca and LFP data: Click here

About

This repository hosts the codes for the decoding of cortex-wide fluorescence activity from multi-channel surface neural potentials.

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