@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},
	}