Odorant recognition using biological responses recorded in olfactory bulb of rats

Title
Odorant recognition using biological responses recorded in olfactory bulb of rats
Authors
Keywords
Feature extraction, Pattern recognition, Odorant classification, Local field potential in olfactory bulb, Principal component analysis (PCA), Fisher Transformation (FT), Sammon NonLinear Map (NLM), Wavelet Transform (WT), Multilayer Perceptron (MLP), Support Vector Machine (SVM)
Journal
COMPUTERS IN BIOLOGY AND MEDICINE
Volume 56, Issue -, Pages 192-199
Publisher
Elsevier BV
Online
2014-11-18
DOI
10.1016/j.compbiomed.2014.10.010

Ask authors/readers for more resources

Reprint

Contact the author

Find Funding. Review Successful Grants.

Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.

Explore

Become a Peeref-certified reviewer

The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.

Get Started