12：00- 13：00 牧野　浩史（慶應義塾大学)

最先端研究セミナー

 

講演者：牧野　浩史 教授（慶應義塾大学医学部・医学研究科 生理学教室）

演題：Learning in intelligent systems

日時：2026年1月28日（水）　12：00-13：00

開催場所：発生医学研究所1階　カンファレンス室

※ZOOMミーティングのURLはMoodleの「S-HIGO最先端研究セミナーA、B」にてご確認ください。

https://md.kumamoto-u.ac.jp/course/view.php?id=120331

 

Abstract：

Recent years have seen a resurgence of interplay between artificial intelligence (AI) and neuroscience. While AI offers new theories on how the brain solves complex problems, neuroscience contributes novel algorithms and neural network architectures that can endow machines with cognitive abilities. However, direct comparisons between artificial and biological intelligent systems remain limited. We addressed this gap by examining behaviors and neural representations across multiple domains of intelligence. By training mice and deep reinforcement learning (RL) agents on the same tasks and analyzing the resulting task representations in their respective neural networks, we found that learning in the mouse cortex exhibits key features reminiscent of deep RL algorithms. Furthermore, by deriving theoretical predictions from AI models and empirically testing them in mice, we discovered that the brain composes novel behaviors through a simple arithmetic combination of pre-acquired action-value representations and a stochastic policy. These findings underscore the remarkable parallels in behaviors and neural representations between the two systems and highlight the value of comparative approaches.

 

 

担当分野：IRCMS エピジェネティック遺伝学　高橋（6873)