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AI for Neuroscience
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== <span style="color: #FFFFFF;">Creating</span> == Setting up a neural decoding pipeline: (1) Data: collect neural recordings (EEG/ECoG/fMRI) with synchronized behavioral labels. (2) Preprocessing: bandpass filter EEG; artifact removal (eye blinks, muscle artifacts); epoching around events. (3) Feature extraction: CSP (Common Spatial Patterns) for EEG; HRF modeling for fMRI. (4) Model: start simple (linear SVM or LDA); add EEGNet if linear models insufficient. (5) Validation: cross-validate within-session and across-session; report both. (6) Calibration: for online BCI, implement short daily calibration session to adapt to electrode drift. [[Category:Artificial Intelligence]] [[Category:Neuroscience]] [[Category:Brain-Computer Interface]] </div>
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