Researcher

Joined January 2010
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Our "mind captioning" paper is now published in @ScienceAdvances. The method generates descriptive text of what we perceive and recall from brain activity — a linguistic interpretation of nonverbal mental content rather than language decoding. doi.org/10.1126/sciadv.adw14…
Our new paper is on bioRxiv. We present a novel generative decoding method, called Mind Captioning, and demonstrate the generation of descriptive text of viewed and imagined content from human brain activity. The video shows text generated for viewed content during optimization.
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#学術変革領域研究(B)「大規模言語モデルを駆使した #インシリコ言語学 の創成」(2026年度-2028年度、研究代表者:川崎義史@IncipeDimidium)に採択されました! #insilicolinguistics
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Tomoyasu Horikawa retweeted
【すごい】NTT、頭の中で「思い浮かべたこと」をAIでテキスト化する技術公開 news.livedoor.com/article/de… 映像を見ているとき、あるいは過去に視聴した映像を思い浮かべた時の脳の状態を、脳の活動部位を特定できる「fMRI」で計測。どのような映像を見て、思い浮かべたのかをテキストで出力するという。
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Tomoyasu Horikawa retweeted
17 Nov 2025
/ 心に思い浮かべた映像を言葉に変換する脳解読技術「マインド・キャプショニング」を実現💫 \ 言葉を使わずに考えを伝える新たなコミュニケーション手段を開拓しました✨ 本研究成果の一部は、11/19から開催されるNTTR&Dフォーラムに展示予定です🌟 #NTTRD
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Tomoyasu Horikawa retweeted
Brain Decoder Translates Visual Thoughts Into Text A new generative method called mind captioning can translate visual and recalled thoughts into coherent sentences by decoding semantic patterns across the brain. Instead of relying on traditional language regions, the system reads structured visual information from widespread cortical areas and aligns it with deep language model features. This allows it to verbalize what a person sees—or imagines—without requiring internal speech. The findings suggest that the brain stores richly organized, linguistically expressible information outside the language network, enabling new forms of nonverbal communication.
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Tomoyasu Horikawa retweeted
5 Nov 2025
A new technique called ‘mind captioning’ generates descriptive sentences of what a person is seeing or picturing in their mind using a read-out of their brain activity, with impressive accuracy. go.nature.com/4nZaZId

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脳活動から見たり想像したりしている視覚内容を記述するテキストを生成する技術"Mind Captioning"に関する論文が@ScienceAdvances で公開されました. science.org/doi/10.1126/scia… ありがたいことにNature Newsにも取り上げてもらったのでご興味のある方はどうぞご覧ください. nature.com/articles/d41586-0…
ヒトが知覚・想像している映像の内容を説明するテキストを,脳活動から生成するデコーディング研究のpreprintが公開されました. fMRIで計測した脳活動から解読した意味特徴をもとに,テキストの繰り返し最適化を行うことで,脳に表現されている意味情報を捉えたテキストを生成するという研究です.
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Our "mind captioning" paper is now published in @ScienceAdvances. The method generates descriptive text of what we perceive and recall from brain activity — a linguistic interpretation of nonverbal mental content rather than language decoding. doi.org/10.1126/sciadv.adw14…
Our new paper is on bioRxiv. We present a novel generative decoding method, called Mind Captioning, and demonstrate the generation of descriptive text of viewed and imagined content from human brain activity. The video shows text generated for viewed content during optimization.
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I also appreciate @maxdkozlov for the interview and @alex_ander for sharing his thoughts in the Nature News article on our work: "'Mind-captioning' AI decodes brain activity to turn thoughts into text." nature.com/articles/d41586-0…

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For more details, check the project page: horikawa-t.github.io/MindCap… Here, you’ll find access to data, code, and a Q&A section, along with more about our "mind captioning" work.

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Tomoyasu Horikawa retweeted
Mind captioning: Evolving descriptive text of mental content from human brain activity biorxiv.org/cgi/content/shor… #biorxiv_neursci

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ヒトが知覚・想像している映像の内容を説明するテキストを,脳活動から生成するデコーディング研究のpreprintが公開されました. fMRIで計測した脳活動から解読した意味特徴をもとに,テキストの繰り返し最適化を行うことで,脳に表現されている意味情報を捉えたテキストを生成するという研究です.
Our new paper is on bioRxiv. We present a novel generative decoding method, called Mind Captioning, and demonstrate the generation of descriptive text of viewed and imagined content from human brain activity. The video shows text generated for viewed content during optimization.
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Our new paper is on bioRxiv. We present a novel generative decoding method, called Mind Captioning, and demonstrate the generation of descriptive text of viewed and imagined content from human brain activity. The video shows text generated for viewed content during optimization.
Mind captioning: Evolving descriptive text of mental content from human brain activity biorxiv.org/cgi/content/shor… #biorxiv_neursci
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The method can be applied to mental imagery, allowing us to interpret mental content by translating brain signals into linguistic descriptions. This may lead to non-verbal thought-based brain-to-text communication, potentially aiding people with language expression difficulties.
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We used video stimuli collected by Cowen & Keltner (2017). All experimental data and code used in this study will be made publicly available via OpenNeuro and Github.
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