S_Nobukawa

脳波等の神経活動データの計測・解析から、脳の数理モデルまで扱っている計算論的神経科学の研究者です。千葉工業大学 情報変革科学部 情報工学科 の教員です。大学院進学や共同研究のご相談、講演・執筆依頼受け付けています。

[S_Nobukawa @SNobukawa]

運転時の脳波研究の成果についてプレスリリースを行いました。
共同プレスリリース_経験は脳に必要な情報を選択する力を育てる ─ 運転経験から見えてきた情報取り込みの神経メカニズム ─
https://t.co/XfiqAAaafo

[S_Nobukawa @SNobukawa]

Claude codeとNotebookLLMを利用して、論文紹介動画を作ってみました。https://t.co/kFcEgvAMA8

[S_Nobukawa @SNobukawa]

Our new preprint is now available on medRxiv: Instantaneous-Frequency EEG Microstate Dynamics Stratify Motor Subtypes in Parkinson's Disease
https://t.co/MwMeJ8sKar
#ParkinsonsDisease #EEG #Neuroscience

[千葉工業大学体育会合気道部【千葉工大公認】 @cit_aiki]

6月の活動予定のカレンダーです。

7日(日曜日)に七大学合同稽古を行います。
15日(月曜日)は新入生歓迎会を行います。

7月以降の稽古予定はInstagramにて投稿させていただきます。
千葉工業大学合気道部Instagram→https://t.co/L8xwGjKGU8

[千葉工業大学体育会合気道部【千葉工大公認】 @cit_aiki]

5月23日土曜日に開催された"第63回 全日本合気道演武大会"に行ってきました。

関東学生演武として、2人が出場しました。
また、同門の千葉合気道友会と演武に参加させていただきました。

#全日本合気道演武大会
#合気道
#千葉工業大学

[S_Nobukawa @SNobukawa]

子どものADHD傾向を「瞳孔の左右差のゆらぎ」から捉える研究｜Sou Nobukawa (信川 創) @SNobukawa https://t.co/k5Swv70XvZ

[Andrej Karpathy @karpathy]

Judging by my tl there is a growing gap in understanding of AI capability.

The first issue I think is around recency and tier of use. I think a lot of people tried the free tier of ChatGPT somewhere last year and allowed it to inform their views on AI a little too much. This is a group of reactions laughing at various quirks of the models, hallucinations, etc. Yes I also saw the viral videos of OpenAI's Advanced Voice mode fumbling simple queries like "should I drive or walk to the carwash". The thing is that these free and old/deprecated models don't reflect the capability in the latest round of state of the art agentic models of this year, especially OpenAI Codex and Claude Code.

But that brings me to the second issue. Even if people paid $200/month to use the state of the art models, a lot of the capabilities are relatively "peaky" in highly technical areas. Typical queries around search, writing, advice, etc. are *not* the domain that has made the most noticeable and dramatic strides in capability. Partly, this is due to the technical details of reinforcement learning and its use of verifiable rewards. But partly, it's also because these use cases are not sufficiently prioritized by the companies in their hillclimbing because they don't lead to as much $$$ value. The goldmines are elsewhere, and the focus comes along.

So that brings me to the second group of people, who *both* 1) pay for and use the state of the art frontier agentic models (OpenAI Codex / Claude Code) and 2) do so professionally in technical domains like programming, math and research. This group of people is subject to the highest amount of "AI Psychosis" because the recent improvements in these domains as of this year have been nothing short of staggering. When you hand a computer terminal to one of these models, you can now watch them melt programming problems that you'd normally expect to take days/weeks of work. It's this second group of people that assigns a much greater gravity to the capabilities, their slope, and various cyber-related repercussions.

TLDR the people in these two groups are speaking past each other. It really is simultaneously the case that OpenAI's free and I think slightly orphaned (?) "Advanced Voice Mode" will fumble the dumbest questions in your Instagram's reels and *at the same time*, OpenAI's highest-tier and paid Codex model will go off for 1 hour to coherently restructure an entire code base, or find and exploit vulnerabilities in computer systems. This part really works and has made dramatic strides because 2 properties: 1) these domains offer explicit reward functions that are verifiable meaning they are easily amenable to reinforcement learning training (e.g. unit tests passed yes or no, in contrast to writing, which is much harder to explicitly judge), but also 2) they are a lot more valuable in b2b settings, meaning that the biggest fraction of the team is focused on improving them. So here we are.

[Yoshiho Ikeuchi 池内 与志穂 @YoshihoIkeuchi]

今日はフランスのマクロン大統領に生産技術研究所にお越しいただきました👏フランスとの共同研究について聞いてくれてありがとうございました。
@ambafrancejp_jp @EmmanuelMacron @Tomoyadu @UTokyo_IIS @UTokyo_News
これはエープリルフールじゃなくて本当なんです。

[Eiji Watanabe @eijwat]

【モノアミン系の統合分離制御をEcho State Networksにて検証】千葉工大の信川先生他

[Eiji Watanabe @eijwat]

[preprint] Controlling Integration and Segregation in Echo State Networks via Noradrenaline and Acetylcholine Neuromodulation, Sou Nobukawa et al. "monoamine & reservoir computing"
https://t.co/6Fij3srYty

[S_Nobukawa @SNobukawa]

https://t.co/LIyCG6MAko

[S_Nobukawa @SNobukawa]

In a study of preschool and early elementary school children, we found that the temporal fluctuation in the difference between the left and right pupil sizes may reflect ADHD-related traits. https://t.co/LIyCG6MAko

[S_Nobukawa @SNobukawa]

「理論」を「現実」へ。歪んだシステムでも微弱な信号を逃さない、カオス共鳴の新しい制御技術 - 非対称な世界で感度を最大化する「DGA-RRO法」-｜Sou Nobukawa (信川 創) @SNobukawa https://t.co/FleueSPb1J

[S_Nobukawa @SNobukawa]

(概要)高次脳機能研究最前線　～基盤技術から脳のデジタル化まで～ https://t.co/r8foAwCuAx

[S_Nobukawa @SNobukawa]

寄稿した書籍「高次脳機能研究最前線」が出版されました。「脳波を用いた精神疾患における神経ダイナミクス研究の最前線」の章を担当しました。
https://t.co/r8foAwCuAx

[学術変革領域研究（A）バイオ超越PR @mnbc_pr]

信川さん（A01-3・千葉工業大学）の論文が2本（！）新しく掲載されました！おめでとうございます！1本目(IEEE access)は、カオス同期を誘導するカオス制御法に関するもので、将来的には、神経系にも応用できることが期待されます。
https://t.co/TjtnihBYTc

[学術変革領域研究（A）バイオ超越PR @mnbc_pr]

信川さん（A01-3・千葉工業大学）の2本目(Nonlinear Theory and Its Applications, IEICE)は、心拍の概日リズム変動で、睡眠効率と関連する神経活動と何らかの関連があるかもしれない数十分スケールの心拍変動をとらえた研究になります。おめでとうございます！
https://t.co/x6NsM5BEjT

[S_Nobukawa @SNobukawa]

Congratulations! My Ph.D. student, Anh Tu Tran, has published a paper on a novel chaos control method for inducing chaos synchronization.
https://t.co/woKUaQrZiF

[S_Nobukawa @SNobukawa]

スマートウォッチで探る「睡眠の質」と「心拍リズム」の意外な関係｜Sou Nobukawa (信川 創) @SNobukawa https://t.co/RHqkGuCSt4

[S_Nobukawa @SNobukawa]

🧠 New RC architecture!
We propose Heterogeneous Assembly ESN (HetAESN), extending ESN with temporal heterogeneity.
#ReservoirComputing #ESN #TimeSeries #AI
https://t.co/9GgQeHiWZO