%0 Journal Article %A K.-J. You and H.J. Lee and Y. Lang and C. Im and C.S. Koh and H.-C. Shin %D 2011 %J International Journal of Bioengineering and Life Sciences %B World Academy of Science, Engineering and Technology %I Open Science Index 59, 2011 %T Odor Discrimination Using Neural Decoding of Olfactory Bulbs in Rats %U https://publications.waset.org/pdf/14964 %V 59 %X This paper presents a novel method for inferring the odor based on neural activities observed from rats- main olfactory bulbs. Multi-channel extra-cellular single unit recordings were done by micro-wire electrodes (tungsten, 50μm, 32 channels) implanted in the mitral/tufted 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 brain-machine interface system for odor inference. %P 690 - 693