Autoregressive flow matching outperforms baselines in probabilistically predicting short-term parcel-wise BOLD neural activity on fMRI data by conditioning on past dynamics and multimodal sensory input.
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Probabilistic Prediction of Neural Dynamics via Autoregressive Flow Matching
Autoregressive flow matching outperforms baselines in probabilistically predicting short-term parcel-wise BOLD neural activity on fMRI data by conditioning on past dynamics and multimodal sensory input.