Machine Learning Techniques with Specific Application to the Early Olfactory System

Machine Learning Techniques with Specific Application to the Early Olfactory System

This thesis deals with machine learning techniques for the extraction of structure and the analysis of the vertebrate olfactory pathway based on related methods. Some of its main contributions are summarized below. We have performed a systematic investigation for classification in biomedical images...

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Bibliographic Details
Main Author: Auffarth, Benjamin
Format: Doctoral Thesis
Language:English
Published: KTH, Beräkningsbiologi, CB 2012
Subjects:
feature selection
image features
pattern classification
relevance
redundancy
distributional similarity
divergence measure
genetic algorithms
clustering algorithms
annealing
olfactory coding
olfactory bulb
odorants
glomeruli
property-activity relationship
olfaction
plasticity
axonal guidance
odor category
perception
spatial coding
population coding
memory organization
odor quality
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-90474
http://nbn-resolving.de/urn:isbn:978-91-7501-273-5

Internet

http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-90474
http://nbn-resolving.de/urn:isbn:978-91-7501-273-5

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