Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 30831
Odor Discrimination Using Neural Decoding of Olfactory Bulbs in Rats

Authors: K.-J. You, H.J. Lee, Y. Lang, C. Im, C.S. Koh, H.-C. Shin


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.

Keywords: Neural Engineering, Biomedical Signal Processing, olfactory, BMI, neural decoding

Digital Object Identifier (DOI):

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1250


[1] P. Dayan, L.F. Abbott, and L. Abbott, Theoretical neuroscience: Computational and mathematical modeling of neural systems, MIT press Cambridge, MA:, 2001.
[2] A. Pouget, S.A. Fisher, and T.J. Sejnowski, "Egocentric spatial representation in early vision," Journal of Cognitive Neuroscience, vol. 5, pp. 150-150, 1993.
[3] M.D. Serruya, N.G. Hatsopoulos, L. Paninski, M.R. Fellows, and J.P. Donoghue, "Brain-machine interface: Instant neural control of a movement signal," Nature, vol. 416, no. 6877, pp. 141-142, 2002.
[4] W. Wu, M.J. Black, Y. Gao, E. Bienenstock, M. Serruya, A. Shaikhouni, and J.P. Donoghue, "Neural decoding of cursor motion using a Kalman filter," in Advances in Neural Information Processing Systems 15: Proceedings of the 2002 Conference. The MIT Press, 2003, p. 133.
[5] A. Pouget, K. Zhang, S. Deneve, and P.E. Latham, "Statistically efficient estimation using population coding," Neural Computation, vol. 10, no. 2, pp. 373-401, 1998.
[6] J. Wessberg, C.R. Stambaugh, J.D. Kralik, P.D. Beck, M. Laubach, J.K. Chapin, J. Kim, S.J. Biggs, M.A. Srinivasan, and M.A.L. Nicolelis, "Real-time prediction of hand trajectory by ensembles of cortical neurons in primates," Nature, vol. 408, no. 6810, pp. 361-365, 2000.
[7] L. Paninski, M.R. Fellows, N.G. Hatsopoulos, and J.P. Donoghue, "Spatiotemporal tuning of motor cortical neurons for hand position and velocity," Journal of Neurophysiology, vol. 91, no. 1, pp. 515, 2004.
[8] A.P. Georgopoulos, A.B. Schwartz, and R.E. Kettner, "Neuronal population coding of movement direction," Science, vol. 233, no. 4771, pp. 1416, 1986.
[9] M. Jazayeri and J.A. Movshon, "Optimal representation of sensory information by neural populations," Nature Neuroscience, vol. 9, no. 5, pp. 690-696, 2006.
[10] H.C. Shin, V. Aggarwal, S. Acharya, M.H. Schieber, and N.V. Thakor, "Neural Decoding of Finger Movements Using Skellam- Based Maximum-Likelihood Decoding," Biomedical Engineering, IEEE Transactions on, vol. 57, no. 3, pp. 754-760, 2010.
[11] M. Leon and B.A. Johnson, "Olfactory coding in the mammalian olfactory bulb," Brain Research Reviews, vol. 42, no. 1, pp. 23-32, 2003.
[12] L.B. Buck, "Information coding in the vertebrate olfactory system," Annual review of neuroscience, vol. 19, no. 1, pp. 517-544, 1996.
[13] D.Y. Lin, S.D. Shea, and L.C. Katz, "Representation of natural stimuli in the rodent main olfactory bulb," Neuron, vol. 50, no. 6, pp. 937-949, 2006.
[14] R. Tabor, E. Yaksi, J.M. Weislogel, and R.W. Friedrich, "Processing of odor mixtures in the zebrafish olfactory bulb," Journal of Neuroscience, vol. 24, no. 29, pp. 6611, 2004.
[15] M. Meredith, "Patterned response to odor in mammalian olfactory bulb: the influence of intensity," Journal of neurophysiology, vol. 56, no. 3, pp. 572, 1986.