ODOR STIMULUS INFERENCE BASED ON NEURAL SPIKE SIGNAL IN RATS
Biosignal Estimation and Classification
Presented by: Kyung-Jin You, Author(s): Kyung-Jin You, Soongsil University, Republic of Korea; Hyun Joo Lee, Yiran Lang, Changkyun Im, Chin Su Koh, Hyung-Cheul Shin, Hallym University, Republic of Korea; Hyun-Chool Shin, Soongsil University, Republic of Korea
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 re- sponses 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.
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