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Repository for the paper on Hidden Multivariate pattern (HMP)

Title: Trial-by-trial detection of cognitive events in neural time-series

Authors : Gabriel Weindel, Leendert van Maanen, Jelmer P. Borst

Figure of the paper in 9 panels summarizing the HMP method, see caption of Figure 1 in the paper This repository contains all the data and code to reproduce the analysis and figures presented in the paper.

  • Folder plots/ contains the figure of the method and eventual plots produced with the scripts in results/
  • Folder results/simulations contains the data and code to reproduce the section "Simulations"
  • Folder results/replication contains the data and code to reproduce the section "Application to real data"

In order to reproduce the analysis and figures the easiest way is to install a specific conda environment as follows:

conda create -n hmp pymc arviz xarray pandas mne bambi seaborn
conda activate hmp
conda install pip #if not already installed
pip install hmp==0.4.1

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Github repository accompanying the paper "Trial-by-trial detection of cognitive events in neural time-series" Weindel, van Maanen & Borst (2024)

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