Decision-making in dynamic, continuously evolving environments: Quantifying the flexibility of human choice

# Decision-making in dynamic, continuously evolving environments: Quantifying the flexibility of human choice

[https://doi.org/10.5061/dryad.02v6wwq6b](https://doi.org/10.5061/dryad.02v6wwq6b)

This repository contains EEG and behavioural data from a study of continuous decision making in a random-dot kinteogram paradigm, in which participants aim to detect consistent periods of motion ('response periods') in background noise. Participants complete 6 blocks, each consisting of 4 conditions (different 'environments'). Each condition lasts 5 minutes. Full details of the paradigm are given in the preprint at [https://www.biorxiv.org/content/10.1101/2022.08.18.504278.abstract](https://www.biorxiv.org/content/10.1101/2022.08.18.504278.abstract).

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## Description of the data and file structure

The location of data files in the repository are highlighted in **bold**, and the relevant MATLAB functions to load/explore the data are given in *italics*. Code to analyse this data is stored at ...