Multimodal Olfactory Scence Analysis

This describes our effort for understanding biological and artifical olfactory systems along three multi-disciplinary fronts: 1. Experimental characterization of biological olfactory systems in their speed and adaptiveness to novel odors; 2. Mathematical modeling of the effective of various olfactor...

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Bibliographic Details
Main Authors: Gelperin, Alan, Shraiman, Boris, Lee, Daniel D
Format: Report
Language:English
Subjects:
ALGORITHMS
Anatomy and Physiology
DETECTORS
LEARNING MACHINES
MATHEMATICAL MODELS
Radiofrequency Wave Propagation
SIGNAL TO NOISE RATIO
SPARSE LEAST MEAN SQUARE SOLUTION
STRATEGY
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Description
Summary:This describes our effort for understanding biological and artifical olfactory systems along three multi-disciplinary fronts: 1. Experimental characterization of biological olfactory systems in their speed and adaptiveness to novel odors; 2. Mathematical modeling of the effective of various olfactory search strategies; 3. Machine learning algorithms for analyzing olfactory sensor data. The original document contains color images.