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cs.CV2026
Can Natural Image Autoencoders Compactly Tokenize fMRI Volumes for Long-Range Dynamics Modeling?
Peter Yongho Kim, Juhyeon Park, Jungwoo Park +4
Modeling long-range spatiotemporal dynamics in functional Magnetic Resonance Imaging (fMRI) remains a key challenge due to the high dimensionality of the four-dimensional signals.…
cs.CV2025
Scalable Diffusion Transformer for Conditional 4D fMRI Synthesis
Jungwoo Seo, David Keetae Park, Shinjae Yoo +1
Generating whole-brain 4D fMRI sequences conditioned on cognitive tasks remains challenging due to the high-dimensional, heterogeneous BOLD dynamics across subjects/acquisitions an…
cs.CV2025
CausalMamba: Scalable Conditional State Space Models for Neural Causal Inference
Sangyoon Bae, Jiook Cha
We introduce CausalMamba, a scalable framework that addresses fundamental limitations in fMRI-based causal inference: the ill-posed nature of inferring neural causality from hemody…