Decoding Cognitive States from fMRI Using Classical Machine Learning and Temporal Dynamics Analysis: An Interpretable Approach Using the Human Connectome Project
Valeriya Kirova, Dzerassa Kadieva, Daniil Vlasenko, F. Ratnikov, Isak B. Blank
This paper uses classical machine learning and temporal dynamics analysis to classify task-induced brain states from fMRI data, showing that temporal activity patterns are critical for distinguishing cognitive states.
bioRxiv · Jun 1, 2026 · PreprintNeuroscience