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

Understand

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 structures and overall performance.