@article{(Open Science Index):https://publications.waset.org/pdf/14964, title = {Odor Discrimination Using Neural Decoding of Olfactory Bulbs in Rats}, author = {K.-J. You and H.J. Lee and Y. Lang and C. Im and C.S. Koh and H.-C. Shin}, country = {}, institution = {}, abstract = {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.}, journal = {International Journal of Bioengineering and Life Sciences}, volume = {5}, number = {11}, year = {2011}, pages = {690 - 693}, ee = {https://publications.waset.org/pdf/14964}, url = {https://publications.waset.org/vol/59}, bibsource = {https://publications.waset.org/}, issn = {eISSN: 1307-6892}, publisher = {World Academy of Science, Engineering and Technology}, index = {Open Science Index 59, 2011}, }