(☆゜o゜)脳の血流変化から映像復元（米・バークリー）

ＳＯＵＲＣＥ　朝日新聞１０／２
http://www.asahi.com/science/update/0930/TKY201109290669.html
米カリフォルニア大学バークリー校の西本伸志研究員らのチームが開発し、
米専門誌カレント・バイオロジーに発表

fMRI1で脳の血流の変化と画像をリンクさせた。

再生された画像はこちら。
http://newscenter.berkeley.edu/2011/09/22/brain-movies/

方法詳細↓
The left clip is a segment of a Hollywood movie trailed that the subject
viewed while in the magnet. The right clip shows the reconstruction of
this segment from brain activity measured using fMRI. The procedure is as
follows:

[1] Record brain activity while the subject watches several hours of movie
trailers.
対象が２〜３時間映像を観ている間の脳の活動を記録する
[2] Build dictionaries (regression model) to translate between the shapes,
edges and motion in the movies and measured brain activity. A separate
dictionary is constructed for each of several thousand points in the brain
at which brain activity was measured.
映像の形や辺縁や動きと脳の活動を翻訳する辞書を作る。
(For experts: our success here in building a movie-to-brain activity
encoding model was one of the keys of this study)
[3] Record brain activity to a new set of movie trailers that will be used
to test the quality of the dictionaries and reconstructions.
その辞書と、映像への再構築を精査するために別の映像でも脳の活動を記録する。
[4] Build a random library of ~18,000,000 seconds of video downloaded at
random from YouTube (that have no overlap with the movies subjects saw in
the magnet). Put each of these clips through the dictionaries to generate
predictions of brain activity. Select the 100 clips whose predicted
activity is most similar to the observed brain activity. Average those
clips together. This is the reconstruction.