TiDHy: Timescale Demixing via Hypernetworks to learn simultaneous dynamics from mixed observations.

• Tác giả: Elliott T T Abe, Bingni W Brunton
• Ngôn ngữ: eng
• Ký hiệu phân loại: 912.01 Philosophy and theory
• Thông tin xuất bản: United States : bioRxiv : the preprint server for biology , 2025
• Bộ sưu tập: NCBI
• ID: 643078

Tóm tắt

 Neural activity and behavior arise from multiple concurrent time-varying systems, including neuromodulation, neural state, and history
  however, most current approaches model these data as one set of dynamics with a single timescale. Here we develop