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Source Code for "Uncovering Spatiotemporal Differences in Cortical Activity Corresponding to Two Tasks Using Data-Driven ADASSO Algorithm" (ISBI 2025)

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ISBI2025-ADASSO

Code for ISBI 2025 submission "Uncovering Spatiotemporal Differences in Cortical Activity Corresponding to Two Tasks Using Data-Driven ADASSO Algorithm"

Prerequisites

  1. Install the environment by conda env create -f environment.yml and check the env by conda env list.

How to run the code

Tip

Code is written as a python package, run the moudule with prefix -m, for example python -m src.bool_mat.

To reproduce the results using the proposed ADASSO algorithm, follow these steps:

  1. Preprocess the raw data, split the trails into epochs.
  2. Booleanize the read-value matrix into boolean matrix by python -m src.bool_mat.
  3. Calculate the basis vectors B and occurence matrix C and D by python -m src.calc_bcd.
  4. Once you have B, C, and D, you can perform analysis and generate plots based on these results.

Problems

If you have any issue regards to the code or paper, feel free to contact Siwei by putting this into your terminal echo c20yNDcwQHNjYXJsZXRtYWlsLnJ1dGdlcnMuZWR1Cg== | base64 --decode.

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Source Code for "Uncovering Spatiotemporal Differences in Cortical Activity Corresponding to Two Tasks Using Data-Driven ADASSO Algorithm" (ISBI 2025)

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