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Electronic Noses and Olfaction 2000 reflects the state of progress toward the development and application of electronic instruments called electronic noses (e-noses). These instruments are generally based on arrays of sensors for volatile chemicals with broadly tuned selectivity, coupled to appropriate pattern recognition systems. They are capable of detecting and discriminating a number of different simple and complex odors, such as the headspace of coffee and olive oil, as well as being able to perform simple multicomponent gas analysis. Written by international scientists, engineers, technologists, clinicians, investigators, and instrument manufacturers working in the applied research of e-noses as well as in the applications of olfaction and taste, this volume is essential reading for anyone who wants a review of the latest developments in odor sensors, instrumentation and signal processing, and their medical, agricultural, and food-related applications.
Electronic Noses and Olfaction 2000 reflects the state of progress
toward the development and application of electronic instruments
called electronic noses (e-noses). These instruments are generally
based on arrays of sensors for volatile chemicals with broadly
tuned selectivity, coupled to appropriate pattern recognition
systems. They are capable of detecting and discriminating a number
of different simple and complex odors, such as the headspace of
coffee and olive oil, as well as being able to perform simple
multicomponent gas analysis.
Many advances have been made in the last decade in the understanding of the computational principles underlying olfactory system functioning. Neuromorphic Olfaction is a collaboration among European researchers who, through NEUROCHEM (Fp7-Grant Agreement Number 216916)-a challenging and innovative European-funded project-introduce novel computing paradigms and biomimetic artifacts for chemical sensing. The implications of these findings are relevant to a wide audience, including researchers in artifical olfaction, neuroscientists, physiologists, and scientists working with chemical sensors. Developing neuromorphic olfaction from conceptual points of view to practical applications, this cross-disciplinary book examines: The biological components of vertebrate and invertebrate chemical sensing systems The early coding pathways in the biological olfactory system, showing how nonspecific receptor populations may have significant advantages in encoding odor intensity as well as odor identity The redundancy and the massive convergence of the olfactory receptor neurons to the olfactory bulb A neuromorphic approach to artificial olfaction in robots Reactive and cognitive search strategies for olfactory robots The implementation of a computational model of the mammalian olfactory system The book's primary focus is on translating aspects of olfaction into computationally practical algorithms. These algorithms can help us understand the underlying behavior of the chemical senses in biological systems. They can also be translated into practical applications, such as robotic navigation and systems for uniquely detecting chemical species in a complex background.
Many advances have been made in the last decade in the understanding of the computational principles underlying olfactory system functioning. Neuromorphic Olfaction is a collaboration among European researchers who, through NEUROCHEM (Fp7-Grant Agreement Number 216916)-a challenging and innovative European-funded project-introduce novel computing paradigms and biomimetic artifacts for chemical sensing. The implications of these findings are relevant to a wide audience, including researchers in artifical olfaction, neuroscientists, physiologists, and scientists working with chemical sensors. Developing neuromorphic olfaction from conceptual points of view to practical applications, this cross-disciplinary book examines: The biological components of vertebrate and invertebrate chemical sensing systems The early coding pathways in the biological olfactory system, showing how nonspecific receptor populations may have significant advantages in encoding odor intensity as well as odor identity The redundancy and the massive convergence of the olfactory receptor neurons to the olfactory bulb A neuromorphic approach to artificial olfaction in robots Reactive and cognitive search strategies for olfactory robots The implementation of a computational model of the mammalian olfactory system The book's primary focus is on translating aspects of olfaction into computationally practical algorithms. These algorithms can help us understand the underlying behavior of the chemical senses in biological systems. They can also be translated into practical applications, such as robotic navigation and systems for uniquely detecting chemical species in a complex background.
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