Analysis code for analysing beta bursts in infant and adult EEG data.
Rayson, H, Szul, MJ, El-Khoueiry, P, Debnath, R, Gautier-Martins, M, Ferrari, PF, Fox, N, Bonaiuto, JJ
Bursting with potential: how sensorimotor beta bursts develop from infancy to adulthood
Journal of Neuroscience 2023, https://www.jneurosci.org/content/43/49/8487.abstract
- MATLAB vR2018a
- NoiseTools (http://audition.ens.fr/adc/NoiseTools/)
- Adjusted-Adjust (https://github.com/ChildDevLab/MADE-EEG-preprocessing-pipeline/tree/master/adjusted_adjust_scripts)
- NEAR pipeline (https://github.com/vpKumaravel/NEAR)
- FieldTrip v20190329
- Burst detection (https://github.com/danclab/burst_detection)
- python v3.9.12
- h5py (v3.6.0)
- numpy (v1.22.3)
- scipy (v1.7.3)
- pandas (v1.4.2)
- matplotlib (3.5.1)
- sklearn (v1.1.0)
- MNE (v1.0.3; https://mne.tools/stable/index.html)
- dtw-python (v1.1.14; https://dynamictimewarping.github.io/)
- meegkit (v0.1.1; https://github.com/nbara/python-meegkit)