K.-J. You and H.J. Lee and Y. Lang and C. Im and C.S. Koh and H.-C. Shin
Odor Discrimination Using Neural Decoding of Olfactory Bulbs in Rats
690 - 693
2011
5
11
International Journal of Bioengineering and Life Sciences
https://publications.waset.org/pdf/14964
https://publications.waset.org/vol/59
World Academy of Science, Engineering and Technology
This paper presents a novel method for inferring the
odor based on neural activities observed from rats main olfactory
bulbs. Multichannel extracellular single unit recordings were done
by microwire electrodes (tungsten, 50μm, 32 channels) implanted in
the mitraltufted cell layers of the main olfactory bulb of anesthetized
rats to obtain neural responses to various odors. Neural response
as a key feature was measured by substraction of neural firing rate
before stimulus from after. For odor inference, we have developed a
decoding method based on the maximum likelihood (ML) estimation.
The results have shown that the average decoding accuracy is about
100.0, 96.0, 84.0, and 100.0 with four rats, respectively. This
work has profound implications for a novel brainmachine interface
system for odor inference.
Open Science Index 59, 2011