Faculty - HIRATA Yutaka |

（Last updated : 2024-04-15 00:03:16）

HIRATA Yutaka

Department / Course Chubu University College of Science and Engineering Department of Artificial Intelligence and Robotics

Chubu University College of Engineering Department of Robotic Science and Technology

Chubu University Chubu University Academy of Emerging Sciences

Chubu University Center for Mathematical Science and Artificial Intelligence

Chubu University Graduate School of Engineering Department of Robotic Science and Technology

Job Professor

Academic background
1992/04/01～1995/03/31	Doctorial Graduate School, Division of Engineering Toyohashi University of Technology Finished Intelligent informaticsDoctor of Engineering
1990/04/01～1992/03/31	Doctoral Program (1st Semester) Graduate School, Division of Engineering Toyohashi University of Technology Finished
1988/04/01～1990/03/31	Faculty of Engineering Toyohashi University of Technology Graduated

Business career
2023/04/01 ～	Professor Chubu University Dept. Artificial Intelligence and Robotics, College of Science and Engineering
2022/04/01 ～	Member Chubu University Center for Mathematics, Data Science, and Artificial Intelligence
2018/08/18 ～ 2018/09/20	Robert Glliden Visiting Professor Ohio University College of Arts and Sciences Dept. Biological Sciences, College of Arts and Sciences
2014/09/01 ～	Visiting Professor Nagoya University Institute of Innovation for Future Society
2014/04/01 ～	Professor Chubu University Dept. Robotics Science and Technology, College of Engineering
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Official position and committee in Univ.
2024/04/01	Chubu University Assistant to the President
2023/04/01	Chubu University

Belonging society
	Society for Neuroscience
	IEEE

Present specialized field
Biomaterials, Biomedical engineering, Neuroscience-general, Neuroscience-general, Intelligent informatics keyword(Biomedical Enginnering・Systems Neuroscience,Biomedical Engineering and Systems Neuroscience)

Research, Studies
Geometrical understanding of spatial orientation (JST CREST)
Robotic implementation and adaptive control based on bioplausible information processing models
Brain states monitoring via eye movements and other biological signals
Brain states manipulation via eye movements: Oculo-feedback
Neural Mechanisms of adaptive motor control and learning
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Curriculum Specialized
Advanced systems neuroscience
Digital Signal Processing
Mathematics for robotics
Neuroscience for AI
Start-up seminar

Book and thesis
Books	Roles of cerebellum-brainstem loops in predictive optokinetic eye velocity control in fish, mice, and humans. (Sole-authored) 2021/11
Books	Functional Organization of Cerebellar Feed-Back Loops and Plasticity of Influences on Vestibular Function, In Reference Module in Neuroscience and Biobehavioral Psychology 2020/06
Books	Bihemispheric Cerebellar Spiking Network Model to Simulate Acute VOR Motor Learning. 2016
Books	A Next Generation Modeling Environment PLATO: Platform for Collaborative Brain System Modeling 2009
Books	Computer Simulation of Vestibuloocular Reflex Motor Learning Using a Realistic Cerebellar Cortical Neuronal Network Model. 2007
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Research topic, funded research, and department laboratory expense
	Study on development of Pupil and Eye Movement Measurment System.
	Study on Motor Learning in Cerebellum
	Study on Pupillary Control Seystem
2017/04/01 ～ 2019/03/31	Study on the internal mechanism of the cerebellum and its versatility for different types of motor control and learning Grant-in-Aid for Young Scientists (B)
2016/04/01 ～ 2020/03/31	Understanding and engineering application of cerebellar neuronal network realizing predictive adaptive control Grant-in-Aid for Scientific Research (B)
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Winning science prize
2018/05	IEICE ISS Journal Editorial Testimonial
2017/08	Best Research Award (Cerebellar neural network model for resolving tilt-translation ambiguity)
2017/08	Poster Session Special Award
2014/12	Institute of Electronics, Information and Communication Engineers Human Communication Award (Acquisition of predictive eye movement in response to a periodic optokinetic visual stimulation in human and fish)
2013/05	The Institute of Electronics, Information and Communication Engineers Best Paper Award (Cerebellum-Machine Interface to Evaluate Direct Causality between Cerebellar Purkinje Cell Single Unit Activity and Motor Learning)
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Educational ability

●University’s Evaluation on Teaching Capability of This Person

Home Page
The Neural Cybernetics Laboratory