セッション詳細
[S-02]シンポジウム02 Frontal lobe function in the age of artificial intelligence
2025年5月21日(水) 9:50 〜 11:50
第05会場(大阪国際会議場10F 会議室1009)
座長：Aurelio Cortese（ATR Computational Neuroscience Labs, Japan）, 小林 俊輔（帝京大学医学部 脳神経内科）
The frontal lobe is the seat of fluid intelligence, enabling adaptive and efficient behavior, and exerts executive function, coordinating cognitive processes for goal-directed actions. However, the mechanisms underlying these functions remain elusive. Advances in AI, with responses increasingly indistinguishable from human behavior, may offer valuable insights into human prefrontal functioning. Although the presence of free will and self-consciousness in AI is debatable, its responses suggest fluid intelligence and executive function. This symposium will bring together neuropsychologists and AI scientists to deepen our understanding of the human prefrontal cortex and AI’s general intelligence by discussing their algorithms, architectures, and similarities and differences.
[S-02-1]前頭葉の機能的構造を考える
小林 俊輔 (帝京大学医学部 脳神経内科)
Education and Work Experience
Mar 1993: Graduate, School of Medicine, University of Tokyo
Mar 2002: D. Phil, Department of Neurology, University of Tokyo
Jun 2002 - Mar 2005: JSPS Postdoctoral Fellow, Tamagawa University
Apr 2005 - Mar 2010: Wellcome Trust Postdoctoral Fellow, University of Cambridge, UK
Apr 2010 - Dec 2019: Department of Neurology, Fukushima Medical University
Jan 2020 - Present: Department of Neurology, Teikyo University
Committees:
• Councilor, Japanese Society of Neurology
• Councilor, Neuropsychology Association of Japan
• Councilor, Japan Society for Higher Brain Dysfunction
• Councilor, Movement Disorder Society of Japan
• Councilor, Japanese Society of Clinical Neurophysiology
Current Research Themes:
1. Neuropsychological and neurophysiological studies on decision-making
2. Neuropsychological studies of cognitive functioning in movement disorders
3. Development of AI-assisted evaluation methods for movement disorders
Mar 1993: Graduate, School of Medicine, University of Tokyo
Mar 2002: D. Phil, Department of Neurology, University of Tokyo
Jun 2002 - Mar 2005: JSPS Postdoctoral Fellow, Tamagawa University
Apr 2005 - Mar 2010: Wellcome Trust Postdoctoral Fellow, University of Cambridge, UK
Apr 2010 - Dec 2019: Department of Neurology, Fukushima Medical University
Jan 2020 - Present: Department of Neurology, Teikyo University
Committees:
• Councilor, Japanese Society of Neurology
• Councilor, Neuropsychology Association of Japan
• Councilor, Japan Society for Higher Brain Dysfunction
• Councilor, Movement Disorder Society of Japan
• Councilor, Japanese Society of Clinical Neurophysiology
Current Research Themes:
1. Neuropsychological and neurophysiological studies on decision-making
2. Neuropsychological studies of cognitive functioning in movement disorders
3. Development of AI-assisted evaluation methods for movement disorders
[S-02-2]前頭葉症候群
勝瀬 一登1,2 (1.東京大学大学院医学系研究科 神経内科学分野, 2.東北大学大学院医学系研究科 高次機能障害学分野)
• Physician, Department of Neurology, Graduate School of Medicine, The University of Tokyo
• Physician, Department of Behavioral Neurology and Cognitive Neuroscience, Graduate School of Medicine, Tohoku University
• Postdoctoral Research Fellow (PD), Japan Society for the Promotion of Science
- Training:
2022 Department of Behavioral Neurology and Cognitive Neuroscience, Tohoku University Hospital
2020 Department of Neurology, The University of Tokyo Hospital
2019 Department of Neurology, Center Hospital of the National Center for Global Health and Medicine
2018 Department of Neurology, Japanese Red Cross Medical Center
2017 Department of Neurology, The University of Tokyo Hospital
2014 Intern/Resident, JR Tokyo General Hospital
- Education:
2024 PhD, Graduate School of Medicine, The University of Tokyo
2014 MD, Faculty of Medicine, The University of Tokyo
- Board Certifications:
Neurologist, Clinical Neurophysiologist (EEG and EMG/NCS sections), Dementia Specialist, Clinical Neuropsychologist
• Physician, Department of Behavioral Neurology and Cognitive Neuroscience, Graduate School of Medicine, Tohoku University
• Postdoctoral Research Fellow (PD), Japan Society for the Promotion of Science
- Training:
2022 Department of Behavioral Neurology and Cognitive Neuroscience, Tohoku University Hospital
2020 Department of Neurology, The University of Tokyo Hospital
2019 Department of Neurology, Center Hospital of the National Center for Global Health and Medicine
2018 Department of Neurology, Japanese Red Cross Medical Center
2017 Department of Neurology, The University of Tokyo Hospital
2014 Intern/Resident, JR Tokyo General Hospital
- Education:
2024 PhD, Graduate School of Medicine, The University of Tokyo
2014 MD, Faculty of Medicine, The University of Tokyo
- Board Certifications:
Neurologist, Clinical Neurophysiologist (EEG and EMG/NCS sections), Dementia Specialist, Clinical Neuropsychologist
[S-02-3]前頭葉と言語障害：臨床の視点から
柿沼 一雄 (東北大学大学院医学系研究科 高次脳機能障害科)
2020-2024 PhD student, Tohoku University Graduate School of Medicine Department of Behavioral Neurology and Cognitive Neuroscience
2024-present Assistant Professor, Tohoku University Graduate School of Medicine Department of Behavioral Neurology and Cognitive Neuroscience
2024-present Assistant Professor, Tohoku University Graduate School of Medicine Department of Behavioral Neurology and Cognitive Neuroscience
[S-02-4]Coding and Decoding of Neural Information Processing
Aurelio Cortese1, Benedetto De Martino2, Hugo Six1, Takuya Anzai1, Mitsuo Kawato1, Lennart Bramlage3 (1.ATR Computational Neuroscience Labs, 2.UCL Institute of Cognitive Neuroscience, 3.Reutlingen University)
Dr. Aurelio Cortese is a cognitive computational neuroscientist with over a decade of experience in neuroscience, AI, and machine learning. He currently leads the Decoded Neurofeedback Department at ATR Institute International in Kyoto, Japan. His work focuses on leveraging computational neuroscience and AI to study human perception, behaviour, and intelligence.
Dr. Cortese holds a Ph.D. in Information Science with a neuroscience focus from Nara Institute of Science and Technology, Japan. He has extensive research experience in areas like metacognition, consciousness, and reinforcement learning, having worked with prominent institutions such as ATR (Japan), UCL (UK), and UCLA (US). His notable research contributions include over 20 key publications in prestigious journals like Nature Communications, Nature Human Behaviour, PNAS, and Trends in Cognitive Science.
A recipient of several competitive grants and awards, Dr. Cortese has secured large funding for projects on neurofeedback technology and neuroscience-AI hybrid studies. He was the recipient of the Tokizane Memorial Award for Excellent Graduate Study in Neuroscience and the Young Investigator Award of the Japan Neuroscience Society. Showcasing strong academic and leadership skills, he has also mentored students and delivered guest lectures globally. Proficient in multiple languages, his work has been widely recognized in media and scientific communities.
Dr. Cortese holds a Ph.D. in Information Science with a neuroscience focus from Nara Institute of Science and Technology, Japan. He has extensive research experience in areas like metacognition, consciousness, and reinforcement learning, having worked with prominent institutions such as ATR (Japan), UCL (UK), and UCLA (US). His notable research contributions include over 20 key publications in prestigious journals like Nature Communications, Nature Human Behaviour, PNAS, and Trends in Cognitive Science.
A recipient of several competitive grants and awards, Dr. Cortese has secured large funding for projects on neurofeedback technology and neuroscience-AI hybrid studies. He was the recipient of the Tokizane Memorial Award for Excellent Graduate Study in Neuroscience and the Young Investigator Award of the Japan Neuroscience Society. Showcasing strong academic and leadership skills, he has also mentored students and delivered guest lectures globally. Proficient in multiple languages, his work has been widely recognized in media and scientific communities.
[S-02-5]前頭葉機能の計算論的実装
荒川 直哉 (全脳アーキテクチャ・イニシアティブ)
BA in biophysical engineering at Osaka Univ.; ME in systems science at Tokyo Institute of Technology; Ph.D in philosophy at Temple Univ.
My professional career was mostly in natural language processing at institutions/companies such as ATR and JustSystem.
Currently working on biologically plausible cognitive modeling at the Whole Brain Architecture Initiative (Fellow/Director).
My professional career was mostly in natural language processing at institutions/companies such as ATR and JustSystem.
Currently working on biologically plausible cognitive modeling at the Whole Brain Architecture Initiative (Fellow/Director).