Presentation | 2005/3/23 Extracting the information of visual stimuli from a single-trial activity of a neuronal population in the inferior-temporal cortex Narihisa MATSUMOTO, Yasuko Miyamoto, Masato Okada, |
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Abstract(in English) | To predict sensory input or motor output, a need for extracting information from a single-trial activity of a neuronal population has been growing. For this purpose, it is essential to develop algorithms that estimate the input or output in real time. The algorithms are useful to develop brain-machine interfaces. We developed an algorithm to extract visual information from spike trains of a population of neurons recorded in the monkey inferior-temporal (IT) cortex. We calculated mean squared error between a trial function which was obtained by a spike train in a single arbitrary trial convoluted by a Gaussian distribution and template vectors which had mean activity in the remaining trials. On average for about 70.4% of trials, the estimated stimulus matched with the actual stimulus. We also applied principal component analysis to a single-trial activity of the neurons. Using first principal component, the accuracy was 15.5%. The accuracy increased as the number of principal components increased. Using 19 principal components, the accuracy was 61.5%. Using all principal components, the accuracy was 70.4%. This result suggests that the information of the visual stimuli might be extracted from a single-trial activity of the neuronal population in the IT cortex. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Brain-machine interfaces / principal component analysis / face-responsive neurons |
Paper # | NC2004-200 |
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Committee | NC |
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Conference Date | 2005/3/23(1days) |
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Registration To | Neurocomputing (NC) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Extracting the information of visual stimuli from a single-trial activity of a neuronal population in the inferior-temporal cortex |
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Keyword(1) | Brain-machine interfaces |
Keyword(2) | principal component analysis |
Keyword(3) | face-responsive neurons |
1st Author's Name | Narihisa MATSUMOTO |
1st Author's Affiliation | Neuroscience Research Institute, National Institute of Advanced Industrial Science and Technology (AIST) Tsukuba Central 2() |
2nd Author's Name | Yasuko Miyamoto |
2nd Author's Affiliation | Neuroscience Research Institute, National Institute of Advanced Industrial Science and Technology (AIST) Tsukuba Central 2 |
3rd Author's Name | Masato Okada |
3rd Author's Affiliation | Graduate School of Frontier Sciences, University of Tokyo |
Date | 2005/3/23 |
Paper # | NC2004-200 |
Volume (vol) | vol.104 |
Number (no) | 760 |
Page | pp.pp.- |
#Pages | 6 |
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