BCGNet: Deep Learning Toolbox for BCG Artifact Reduction
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Updated
Sep 30, 2025 - Python
BCGNet: Deep Learning Toolbox for BCG Artifact Reduction
Classification of EEG motor-imagery data.
Matlab-based algorithm for automatic real-time EEG artifact correction
Analyses scripts used for Algermissen, J., Swart, J. C., Scheeringa, R., Cools, R., & den Ouden, H. E. (2021). Striatal BOLD and midfrontal theta power express motivation for action. Cerebral Cortex.
Analyses scripts used for Algermissen, J., Swart, J. C., Scheeringa, R., Cools, R., & den Ouden, H. E. (2024). Prefrontal signals precede striatal signals for biased credit assignment in motivational learning biases. Nature Communications.
Temporal Analysis of FMRI data Toolbox TAfT
A computational neuroscience framework modeling Bipolar I disorder as a systems‑level breakdown in neural coherence. Includes Ψ function, operators, simulations, multimodal biomarkers, and full analysis pipelines for research and validation.
Pre-registered study of artefact correction for sleep staging from EEG recorded during fMRI (OpenNeuro ds003768, 33 participants): cleaning pipeline, quality control, features, classifier, audited results
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