Presentation | 2007-03-14 Reconstruction of visual images by combining multi-resolution local image decoders Hajime UCHIDA, Yoichi MIYAWAKI, Okito YAMASHITA, Masa-aki SATO, Hiroki C. TANABE, Norihiro SADATO, Yukiyasu KAMITANI, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Recent studies have shown that human brain activity measured by functional magnetic resonance imaging (fMRI) can be decoded to predict visual perceptual parameters such as orientation and motion direction. In this study, we present methods to reconstruct arbitrary visual images from fMRI signals. The image decoder was constructed by combining local image decoders that were trained to predict the mean contrast of local image segments of multiple scales from fMRI activity patterns. We examined three methods for combining local image decoders 1) pixel representation, 2) multi-scale representation, 3) bayes estimation based on generative model for fMRI signals. These methods showed high reconstruction accuracy for arbitrary visual images. Our approach for reconstructing visual images provides a unique tool to study detailed representaion and processing in the visual cortex. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Image reconstruction / Decoding / Visual cortex / fMRI |
Paper # | NC2006-131 |
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Committee | NC |
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Conference Date | 2007/3/7(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
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) | Reconstruction of visual images by combining multi-resolution local image decoders |
Sub Title (in English) | |
Keyword(1) | Image reconstruction |
Keyword(2) | Decoding |
Keyword(3) | Visual cortex |
Keyword(4) | fMRI |
1st Author's Name | Hajime UCHIDA |
1st Author's Affiliation | Nara Institute of Science and Technology:ATR Computational Neuroscience Laboratories() |
2nd Author's Name | Yoichi MIYAWAKI |
2nd Author's Affiliation | ATR Computational Neuroscience Laboratories:ATR Computational Neuroscience Laboratories |
3rd Author's Name | Okito YAMASHITA |
3rd Author's Affiliation | ATR Computational Neuroscience Laboratories |
4th Author's Name | Masa-aki SATO |
4th Author's Affiliation | ATR Computational Neuroscience Laboratories |
5th Author's Name | Hiroki C. TANABE |
5th Author's Affiliation | National Institute of Information and Communications Technology |
6th Author's Name | Norihiro SADATO |
6th Author's Affiliation | National Institute of Information and Communications Technology |
7th Author's Name | Yukiyasu KAMITANI |
7th Author's Affiliation | ATR Computational Neuroscience Laboratories:Nara Institute of Science and Technology |
Date | 2007-03-14 |
Paper # | NC2006-131 |
Volume (vol) | vol.106 |
Number (no) | 588 |
Page | pp.pp.- |
#Pages | 6 |
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