title: Neural plasticity of respiratory control system: modeling perspectives.
abstract: Classical models of respiratory control assume a hardwired system architecture with reflex regulation of respiratory rhythm and total ventilation. Recent experimental studies, however, reveal a much more pliable architecture with varying forms of neural plasticity in the afferent and efferent pathways. Here, mathematical models of several types of neural plasticity are proposed and their computational roles in respiratory neural processing are discussed.
authors.affiliation: Harvard-MIT Division of Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, MA 02139, USA. cpoon@mit.edu
authors.forename: C-S
authors.initials: CS
authors.lastname: Poon