Tomo Hiroyasu @HTechLab
Doshisha University, System Engineering, Evolutionary, Computation Brain Mapping, Neuroimaging is.doshisha.ac.jp/~tomo/ Kyoto, Japan Joined June 2018-
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Amazing illustrations! In our new book, Chapter 5 is dedicated to (compressive) autoencoder. I believe most people do not know the history well. The idea of autoencoding is to ensure consistency and self-consistency in the structure-revealing representation obtained. BTW, the…
Amazing illustrations! In our new book, Chapter 5 is dedicated to (compressive) autoencoder. I believe most people do not know the history well. The idea of autoencoding is to ensure consistency and self-consistency in the structure-revealing representation obtained. BTW, the…
“Everyone knows” what an autoencoder is… but there's an important complementary picture missing from most introductory material. In short: we emphasize how autoencoders are implemented—but not always what they represent (and some of the implications of that representation).🧵
Diffusion Language Models Know the Answer Before Decoding "in many cases, the correct answer can be internally identified by half steps before the final decoding step, both under semi-autoregressive and random remasking schedules. For example, on GSM8K and MMLU, up to 97% and…
A new study in Movement Disorders highlights the role of the somato-cognitive action network or SCAN in focal dystonia. Today marks the start of the DBS Think Tank and I will be asking Nico Dosenbach: When you keynoted the DBS Think Tank a few short years ago, did you imagine the…
｢段ボール製ドローン、組み立て5分で2時間飛行｣ ･ 名古屋大学発のスタートアップAirKamuy ･ 約30万円 ･ 性能は一般的な固定翼型ドローンを上回る ･ 海上監視から災害時の物資輸送まで活躍が期待
How does sound intensity affect the brain? 🎧🧠 Muñoz et al. (2025) show that louder tones increase activation in auditory & prefrontal cortices. Using #fNIRS+#EEG, they looked at how neural & vascular signals are coupled in auditory processing. 📖 doi.org/10.1007/s11571…
1/2) I am very happy to finally share something I have been working on and off for the past year: "The Information Dynamics of Generative Diffusion" This paper connects the entropy production, divergence of vector fields and spontaneous symmetry breaking in a unified framework
Lattice Random Walk Discretisations of Stochastic Differential Equations Stochastic differential equations (SDEs) are foundational in statistical physics, finance, and generative modeling. Our paper introduces a new method of solving SDEs, where both time and space are…
京都人「データが綺麗ですね」 訳：チェリー・ピッキングしてますね
｢病院の予約電話の60%以上をAIで完全対応｣ ･ Relatientの音声AIソリューション「Dash Voice AI」 ･ 音声AIが62%の予約電話に応答 ･ 72%の問い合わせを自動処理 ･ 利用者の88%が満足と評価 ･ コールセンター効率20%改善 accesswdun.com/article/2025/8…
New paper in Imaging Neuroscience by Sean E. Coursey, Jingyuan E. Chen, et al: On the analysis of functional PET (fPET)-FDG: Baseline mischaracterization can introduce artifactual metabolic (de)activations doi.org/10.1162/IMAG.a…
One of the most beautiful blogs I have come across in a while
Can complex reasoning emerge directly from learned representations? In our new work, we study representations that capture both perceptual and temporal structure, enabling agents to reason without explicit planning. princeton-rl.github.io/CRTR/
【猛暑は老化を加速】長期的な熱波への曝露が蓄積すると、生物学的年齢が加速するそうです。このリスクは喫煙や飲食、運動不足に匹敵するそうです。今朝の『ネイチャー気候変動』誌より→ nature.com/articles/s4155…
Mapping the protein structure landscape through complementarity and functional locality In just a few years, resources like AlphaFold and ESMFold have multiplied the number of available protein structures a thousand-fold. We now have hundreds of millions of predicted 3D models,…
Imagine controlling smart devices securely with just your mind. Researchers have combined #brain–computer interfaces with space-time-coding #metasurfaces to make encrypted, #wireless mind-to-device communication a reality. Details at @NatureComms: go.nature.com/41oVh0s #BCI
Neural correlates of human fear conditioning and sources of variability in 2199 individuals nature.com/articles/s4146…
New paper in Imaging Neuroscience by Vincent Bazinet, Zhen-Qi Liu and Bratislav Misic: The effect of spherical projection on spin tests for brain maps doi.org/10.1162/IMAG.a…
｢神経科学AI応用25年史と未来展望｣ JMIR Neurotechnology ･ 1999-2024年神経科学AI発展の包括的レビューと技術革新軌跡分析 ･ 脳画像解析・神経信号処理・疾患予測技術の進化過程詳細検証 ･ 2030年代に向けた神経科学AI優先課題と社会実装ロードマップ neuro.jmir.org/2024/1/e59556
興味深い！！！ ｢医療教育におけるAI活用： 指導医と若手医師｣ NEJM review ･ AIは学習効率UPの一方で技能喪失・未習得・誤習得のリスク ･ 指導医より若手がAIに詳しい時代、指導医も共に学ぶ姿勢が必須 ･ AI利用は盲信でなく、批判的思考を育てる教育のチャンス nejm.org/doi/pdf/10.105…
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487 Followers 288 Following 認知神経科学・臨床心理学 / マインドフルネス、マインドワンダリング、ウェルビーイング、自閉スペクトラム / 博士（人間科学） NTT株式会社コミュニケーション科学基礎研究所ポスドク / 早稲田大学招聘研究員 En: @torutakahashi.bsky.social All views are my own
CLaE @leafs_s
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Tomoyuki Hiroyasu @tmhi
594 Followers 707 Following Doshisha University （同志社大学）でbrain informatics の研究をしています。MRIやfNIRSを主に利用しています。その他、生体情報を人工物にいかにとりいれるか、医用画像をどのように知的に処理するのかなどの研究も進めています。進化計算やHPC関連にも接しています。
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hisl @misl97838261
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松井鉄平（teppei... @TeppeiMatsui
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15K Followers 95 Following 脳外科医｜医療AIで起業 ← 脳外科医・MBA ← 京大医・東大理｜数オリ日本代表｜脳血管内手術支援AI｜情報発信：医療AI、起業、スタートアップ
deriba | 脳波と学... @deriba9
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2K Followers 1K Following 東京大学 先進科学研究機構 今泉研究室 / 理化学研究所 AIPセンター 今泉チームのアカウントです。 数理統計・機械学習・深層学習の理論研究を進めています。 東大・今泉研究室: https://t.co/fzSsXdgNmd 理研・今泉チーム: https://t.co/AKdBLfBBys
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Toru TAKAHASHI (髙�... @toru1789taka
487 Followers 288 Following 認知神経科学・臨床心理学 / マインドフルネス、マインドワンダリング、ウェルビーイング、自閉スペクトラム / 博士（人間科学） NTT株式会社コミュニケーション科学基礎研究所ポスドク / 早稲田大学招聘研究員 En: @torutakahashi.bsky.social All views are my own
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