Accession Number:

ADA455446

Title:

Multimodal Olfactory Scence Analysis

Descriptive Note:

Final rept. 17 Jul 2003-16 Jul 2006

Corporate Author:

PENNSYLVANIA UNIV PHILADELPHIA

Personal Author(s):

• Gelperin, Alan
• Shraiman, Boris
• Lee, Daniel D.

Report Date:

2006-07-25

Pagination or Media Count:

9.0

Abstract:

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.

Descriptors:

• *MATHEMATICAL MODELS
• *DETECTORS
• ALGORITHMS
• STRATEGY
• SIGNAL TO NOISE RATIO
• LEARNING MACHINES

Subject Categories:

• Anatomy and Physiology
• Radiofrequency Wave Propagation

Distribution Statement:

APPROVED FOR PUBLIC RELEASE