title: Dynamic information processing in natural and artificial olfactory systems.
abstract: A new strategy for building artificial gas sensing systems is suggested based on knowledge of the dynamic response mechanism of the olfactory system. Difficulties with the processing of time-dependent inputs by neural networks are discussed.
authors.affiliation: Department of Biophysics, KFKI Research Institute for Particle and Nuclear Physics of the Hungarian Academy of Sciences, Budapest, Hungary. erdi@rmki.kfki.hu
authors.forename: P
authors.initials: P
authors.lastname: Erdi
authors.forename: I
authors.initials: I
authors.lastname: Aradi
authors.forename: Y
authors.initials: Y
authors.lastname: Kato
authors.forename: K
authors.initials: K
authors.lastname: Yoshikawa
mesh_terms: D007254:Information Science; D016571:Neural Networks, Computer; D009812:Odorants; D012903:Smell / Q000502:physiology