Cognitive Development Based on Sensorimotor Predictive Learning

Human infants acquire various cognitive abilities in the first few years of life. Although behavioral changes in infants have been closely investigated, the underlying mechanisms for the development are not yet completely understood. We proposed a theory of cognitive development based on predictive learning of sensorimotor information. Our robot experiments demonstrated that various cognitive functions such as self-other cognition, imitation, […]

Predictive Coding Account of Cognitive Individuality and Developmental Disorder

Developmental disorders such as autism spectrum disorder have been characterized by deficits in social interaction. Recent studies in cognitive neuroscience and Tojisha-kenkyu, however, suggest that atypical processing of sensorimotor signals might be their crucial difficulty and cause deficits in higher cognitive capabilities as a consequence. We aim at understanding the underlying mechanism of developmental disorders by means of computational approach […]

Simulator of Atypical Perception in Autism Spectrum Disorder

Individuals with autism spectrum disorder (ASD) suffer from hyperesthesia/hypoesthesia as well as difficulties in social interaction. To understand the underlying mechanism for atypical perception and its influence on social de cits, we computationally analyzed the process of how atypical perception is elicited in social contexts. Our experiment employed visual and audio processing techniques to let ASD participants reproduce their experiences, and […]

Creativity in the Brain

How does creativity emerge in the brain? Creativity sometimes triggers innovation in science, technology, and arts, creating historical shifts in human society. However, it remains debatable how creativity emerges in the brain and how it can be enhanced. By neural experiment (EEG/MEG, TMS, fMRI) and computational modeling, this study tries to elucidate the mechanisms of creativity in the brain (Daikoku, […]

Telerobotics with iCub

Recent advancements in Virtual Reality (VR) and sensing devices have allowed for an increased use of them in telerobotics. Developing our system for the iCub robot (, which is the most standardized humanoid research platform for cognitive research, allowed us to envisage uses like: Wizard of Oz Human-Robot Interaction studies with much more natural behavior of the robot, since the […]

Development of Joint Attention

Joint attention is a process to look at the object that someone is looking at. Previous studies in developmental psychology have suggested that the ability to achieve joint attention is acquired between 6 and 18 months old and that it plays an important role in infants’ further cognitive development. We investigate what inherent mechanisms enable infants to acquire the ability, […]

Motionese: Exaggerated Action for Infants and Robots

Developmental studies have suggested that human caregivers significantly modify their actions when interacting with an infant compared to with an adult. Such modification called motionese is characterised by higher roundness of movement, longer and more pauses between actions, and closer distance to the infant. However, the underlying mechanisms of motionese and influences of motionese on infant action development are uncovered […]

Large-scale Funded Projects

[Scientific Research (S)] Cognitive Individuality

Grant-in-Aid for Scientific Research (S) “Understanding Cognitive Individuality Based on a Unified Brain Theory: Assisting People with Developmental Disorders” (Principal Investigator: Yukie Nagai, Period: 2021.07-2026.03) 発達障害者の個性を生かすニューロダイバーシティ社会を実現するためには,認知機能における個人の多様性を,正しく理解し評価する枠組みが必要です.本研究では,相補的なアプローチから認知機能の原理を探る,認知発達ロボティクス・認知神経科学・発達障害当事者研究を融合することで,多様性の発生機序をシステム的に理解し,発達障害者を支援することを目的とします.脳の一般原理である予測符号化理論に着目し,予測符号化処理における予測精度や階層性,時定数などの変動が,定型発達者と発達障害者の個性を連続的なスペクトラムとして表現することを検証します.仮説検証の課題として,さまざまな認知機能の基盤である自己認知に注目することで,異なる感覚様式や認知レベルにおける多様性が,どのようにどこまで統一的に説明できるのかを明らかにします.本研究の成果により,すべての人の個性を正しく理解し,個性を生かす社会の実現に貢献します. Members Yukie Nagai (Project Professor, International Research Center for Neurointelligence, The University of Tokyo) Shinichiro Kumagaya (Associate Professor, Research Center for Advanced Science and Technology, The University of Tokyo) Makoto Wada (Section Chief, Research […]

[Beyond AI] AI x Tojisha-Kenkyu

Institute for AI and Beyond “AI x Tojisha-Kenkyu: Computational Neuroscience for Systematic Understanding of Cognitive Individuality” (Project Leader: Yukie Nagai, Period: 2020.7-2023.03) With the rapid increase in the number of children with developmental disorders, neurodiversity is expected to achieve by changing disabilities to individualities. This project aims to develop artificial intelligent (AI) systems that reveal cognitive individuality by integrating AI […]

[CREST] Cognitive Mirroring

JST CREST “Cognitive Mirroring: Assisting people with developmental disorders by means of self-understanding and social sharing of cognitive processes” (Research Director: Yukie Nagai, Period: 2016.12-2022.03) This project aims at developing cognitive mirroring systems that make human cognitive processes observable. We hypothesize that predictive coding in the human brain plays a crucial role in cognition and intend to better understand its […]

[Scientific Research on Innovative Areas] Constructive Developmental Science

Grant-in-Aid for Scientific Research on Innovative Areas “Constructive Developmental Science: Revealing the Principles of Development from Fetal Period and Systematic Understanding of Developmental Disorders” (Principal Investigator: Yasuo Kuniyoshi, Period: 2012.06-2017.03) How does human mind develop? What causes developmental disorders? Recent studies suggest the importance of the fetal period in human development. However, study of human fetuses is strongly constrained by […]

[Specially Promoted Research] Constructive Developmental Science

Grant-in-Aid for Specially Promoted Research “Constructive Developmental Science Based on Understanding the Process from Neuro-Dynamics to Social Interaction” (Principal Investigator: Minoru Asada, Period: 2012.05-2017.03) How the microscopic neural activity is reflected in the human behaviors is a big mystery shared by many different disciplines. Medical and neuroscience have tried to explain the microscopic structure inside the brain but have not […]


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