A comparative approach to closed-loop computation

摘要: Neural computation is inescapably closed-loop: the nervous system processes sensory signals to shape motor output, and output consequently shapes input. Technological advances have enabled neuroscientists close, open, alter feedback loops in a wide range of experimental preparations. The capability manipulating topology—that is, how information can flow between subsystems—provides new opportunities understand mechanisms computations underlying behavior. These experiments encompass spectrum approaches from fully open-loop, restrained preparations closed-loop character free Control theory identification provide clear computational framework for relating these approaches. We describe recent progress directions translating at one level this predictions another level. Operating across reveal understanding low-level neural relate high-level function during