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Published September 1, 2023 | Version v1

Data and code for: Excitation creates a distributed pattern of cortical suppression due to varied recurrent input

  • 1. National Institute of Mental Health

Description

Data and code for research article:
"Excitation creates a distributed pattern of cortical suppression due to varied recurrent input"

Unzipped archive should have the following structure:

── corticalSuppressionRepo
   ├── data
   │   ├── 2p_longStim_data.npz
   │   ├── 2p_shortStim_data.npz
   │   ├── ephys_dynamics_data.npz
   │   ├── ephys_spatialDistribuition_data.npz
   │   ├── ephys_timeseries_data.npz
   │   └── widefield_stim_data.npz
   ├── notebooks
   │   ├── 2p_longStim.ipynb
   │   ├── 2p_shortStim.ipynb
   │   ├── balancedStateModel_sim.ipynb
   │   ├── ephys_dynamics.ipynb
   │   ├── ephys_spatialDistribution.ipynb
   │   ├── ephys_timeseries.ipynb
   │   └── widefield_stim.ipynb
   ├── src
   │   ├── analysisFunctions.py
   │   └── randNetSimulation.py
   └── environment.yml

Build and activate environment from environment.yml:

conda env create -f environment.yml
conda activate minenv

Each notebook should run using relative path locations, pulling data from the data directory and sometimes importing code from the src directory.

Files

corticalSuppressionRepo.zip

Files (5.6 MB)

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