新奇事件簿 科學(xué)家稱能夠重現(xiàn)夢境

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Japanese scientists say they have found a way to "read" people's dreams. Researchers at the ATR Computational Neuroscience Laboratories used magnetic resonance imaging (MRI) for what they say is, "the world's first decoding" of night-time visions. Their research is published in the journal "Science". The researchers wrote: "Visual imagery during sleep has long been a topic of persistent speculation, but its private nature has hampered objective analysis. Here, we present a neural decoding approach in which machine learning models predict the contents of visual imagery during sleep." They were able to predict what images their volunteers had seen with a 60 per cent accuracy rate.

日本科學(xué)家稱他們找到了重現(xiàn)人們夢境的方法。日本國際電氣通信基礎(chǔ)技術(shù)研究所計算神經(jīng)學(xué)實驗室(ATR Computational Neuroscience Laboratories)使用磁共振成像技術(shù)對夜間夢境進(jìn)行解碼，他們稱這是全世界首次這樣做。他們的研究發(fā)表在《科學(xué)》雜志上。研究人員寫道：“睡眠期間的視覺影像長期以來都是人們持續(xù)推斷的話題，但是其隱私本質(zhì)妨礙了客觀分析。我們在這里展現(xiàn)了一種神經(jīng)解碼方法，機(jī)器學(xué)習(xí)模板可以預(yù)測睡眠期間視覺影像的內(nèi)容。”他們預(yù)測志愿者看到的圖像的準(zhǔn)確率為60%。

The research is a part of a wider programme aimed at studying the brain. It hopes to unlock the secrets of the unconscious mind to help the disabled move artificial limbs using brain activity. It could also help those with dementia and other neurological conditions. A spokesperson said: "Our expectations from the dream study are quite high, but we are also looking carefully at the ethical aspects of the technology, which may allow a third person to look at somebody else's thoughts." Head researcher Yukiyasu Kamitani said, "dreams have fascinated people since ancient times, but their function and meaning has remained closed". He believes his research is "a key step towards reading dreams more precisely".

這項研究是更廣泛的旨在研究大腦的項目的一部分。該項目希望解開無意識思維的秘密，幫助殘疾人通過大腦活動來移動假肢。還可以幫助癡呆和患有其他神經(jīng)疾病的人。一名發(fā)言人表示：“我們對這項夢境研究的期望非常高。但是我們也非常謹(jǐn)慎地對待這項技術(shù)中的倫理問題，或許會讓第三方看到其他人的想法。”首席研究員Yukiyasu Kamitani表示：“自古時候起，夢就讓人們非常著迷，但是它們的運作和意義一直都是一個謎團(tuán)。”他相信他的研究對于更精確地解讀夢境前進(jìn)了關(guān)鍵的一步。