Tetsuya Ogata
Tokyo, Japan
Last Updated: 09/26/2026
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Found 13 publications
Predictive processing as a scalable computational principle for embodied multitask intelligence.
Journal: Science advances
Published: August 14, 2026
Emergence of sensory attenuation based upon the free-energy principle.
Journal: Scientific reports
Published: April 04, 2022
Tool-Use Model to Reproduce the Goal Situations Considering Relationship Among Tools, Objects, Actions and Effects Using Multimodal Deep Neural Networks.
Journal: Frontiers in robotics and AI
Published: July 28, 2021
Development of a Basic Educational Kit for Robotic System with Deep Neural Networks.
Journal: Sensors (Basel, Switzerland)
Published: March 20, 2021
Paradoxical sensory reactivity induced by functional disconnection in a robot model of neurodevelopmental disorder.
Journal: Neural networks : the official journal of the International Neural Network Society
Published: June 16, 2020
Homogeneous Intrinsic Neuronal Excitability Induces Overfitting to Sensory Noise: A Robot Model of Neurodevelopmental Disorder.
Journal: Frontiers in psychiatry
Published: April 13, 2020
Editorial: Machine Learning Methods for High-Level Cognitive Capabilities in Robotics.
Journal: Frontiers in neurorobotics
Published: August 19, 2019
A Neurorobotics Simulation of Autistic Behavior Induced by Unusual Sensory Precision.
Journal: Computational psychiatry (Cambridge, Mass.)
Published: December 27, 2017
Acquisition of Viewpoint Transformation and Action Mappings via Sequence to Sequence Imitative Learning by Deep Neural Networks.
Journal: Frontiers in neurorobotics
Published: November 30, 2017
Representation Learning of Logic Words by an RNN: From Word Sequences to Robot Actions.
Journal: Frontiers in neurorobotics
Published: August 18, 2017
Last Updated: 09/26/2026