Extraction and Recovery of Spatio-Temporal Structure in Latent Dynamics Alignment with Diffusion Models

arXiv:2306.06138v2 Announce Type: replace-cross
Abstract: In the field of behavior-related brain computation, it is necessary to align raw neural signals against the drastic domain shift among them. A foundational framework within neuroscience research posits that trial-based neural population activities rely on low-dimensional latent dynamics, thus focusing on the latter greatly facilitates the alignment procedure. Despite this field's progress, existing methods ignore the intrinsic spatio-temporal structure during the alignment phase. Hence, their solutions usually lead to poor quality in latent dynamics …

abstract alignment arxiv behavior brain computation cs.lg diffusion diffusion models domain dynamics extraction framework low neuroscience population q-bio.nc raw recovery research shift temporal them type