AI RESEARCH
NAKUL-Med: Spectral-Graph State Space Models with Dynamics Kernels for Medical Signals
arXiv CS.LG
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ArXi:2605.00871v1 Announce Type: cross State space models (SSMs) achieve linear-time complexity but struggle with multi-channel physiological signals due to three limitations: fixed kernels cannot capture multi-scale temporal dynamics (motor preparation over hundreds of milliseconds vs. execution transients in tens of milliseconds), Markovian state updates restrict global context for periodic oscillations, and channel-independent processing ignores spatial electrode topology. We