NeuroTask is a benchmark dataset designed to facilitate the development of accurate and efficient methods for analyzing multi-session, multi-task, and multi-subject neural data. It integrates six datasets from motor cortical regions, comprising 148 sessions from 17 subjects engaged in 7 distinct tasks.
The figure here shows an illustration.
The public dataset suite is available for download through Kaggle.
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If you are using the web user interface, you can download all data from the provided link. The download button is at the upper right corner of the webpage.
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If you would like to use the Kaggle API, please follow the instructions here. After setting the API correctly, you can simply use the command below to download all data.
kaggle datasets download -d carolinafilipe/neurotask-multi-tasks-benchmark-dataset
The dataset schema is comprised of:
- Indexes for dataset,animal, session and trial
- Neurophysiological data.
- Behavior covariates.
- Events time indications.
Each row represents a single time step.
For more information on each of these components, please consult the provided datasheet.
We developed an API, api_neurotask.py, to streamline data loading and preprocessing tasks, such as data rebinning and alignment to specific start event with adjustable offsets. You can find the api tutorial here: tutorial.
In this repository, you will find the code necessary to replicate the experiments of the presented paper.
The first notebook regards the loading, processing and visualization of the data.
The second notebook presents the code to reproduce the benchmark results in the manuscript.
The NeuroTask benchmark dataset is released under a CC BY-NC 4.0 International License. Our code implementation (api and baselines) is released under the MIT License. We would also like to express our gratitude to the authors of baselines for releasing their code.
Please feel free to contact us if you have any questions about NeuroTask: carolina.filipe@research.fchampalimaud.org