Succeeded in transforming brain activities of a human who is seeing an image into the original image and visualizing it on the computer

The co-lab. team of "Advanced Telecommunications Research Institute International (ATRI)" and other organizations succeeded in gathering brain activities of a viewer is actually seeing an image,
reconstructing the gathered data into the original image, and visualizing the image on the computer.
The in-brain image visualizing method, when further developed, may objectively extract subjective experiences, which do not physically exist, for example, mental images and dreams.
The method also showed that it is possible to extract what the human brain perceives from the brain.
The researchers also showed that it is possible to extract complex contents in the brain as the results from that the brain perceives things, just as they are. Further, the method opened up new possibilities of the via-brain information communication technology such as the brain-machine interface (BMI).
For details, read "NEURON", Vol.60, No.5, Decebmer 11, 2008.
Authors & Title:
Yoichi Miyawaki, Hajime Uchida, Okito Yamashita, Masa-aki Sato, Yusuke Morito, Hiroki C. Tanabe, Norihiro Sadato, Yukiyasu Kamitani. "Visual image reconstruction from human brain activity using a combination of multi-scale local image decoders".

A brief of the technology follows for reference. The field of vision is divided into segmental areas having different resolutions. Contrast values of those areas are predicted on the basis of the brain activity patterns, which are obtained through the measurement by the fMRI (functional magnetic resonance imaging). The resultant predictive values are combined to reconstruct an overall original image.
Geometrical figures and alphabets, which were not used for leaning brain activity patterns, could be reconstructed by using the visualizing method. Additionally, a correct image could be specified from among more than 100,000,000 candidates.
Further, an image that the viewer was seeing could be reconstructed into a motion image by analyzing the fMRI scan data gathered every two seconds.
The description given above is a brief of the press release from ATR.

keywords: ATRI, brain activities, in-brain image visualizing,NEURON,fMRI,
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I felt that the technology has a great potential to push forward the man-machine communication technology front.
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