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Researcher's Profile

Lecturer

Hirokazu TAKAHASHI

Intelligent Cooperative Systems

E-mail: takahashi.i.u-tokyo.ac.jp

Office:

Tel: 03-5452-5196

FAX: 03-5452-5196

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Biography

1998.03
Department of Engineering Synthesis, School of Engineering, The University of Tokyo(UTokyo)
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2003.03
Dr.Eng., Department of Engineering Synthesis, Graduate School of Engineering, UTokyo
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2003.04
Research Associate, Department of Engineering Synthesis, Graduate School of Engineering, UTokyo
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2004.10
Assistant Professor, Department of Mechano-Informatics, Graduate School of Informat ion Science and Technology, UTokyo
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2006.08
Lecturer, RCAST, UTokyo

Research Interests

The number of neurons in the cerebral cortex of the human brain is estimated to be on the order of 10 billion. Recent studies demonstrated that individual neurons are not homogeneous computational units, but instead, their properties considerably differ from one another. How such heterogeneity of neurons is integrated into population coding is the key question for better understanding of the computation principles in the brain. We have been establishing high-density microelectrode array recording and data analysis for spatio-temporal activity patterns of populations of neurons. The patterns of interest range widely from the cellular level to the whole brain; i.e., study of dissociated neuronal cultures in vitro, the rodent cortex in vivo, and electrocorticograms of epileptic patients.
Dissociated neuronal culture: Neurons seeded onto a petri dish form a network in a self-organizing manner. In addition, this neural network flexibly alters the activities depending on external stimuli. We use high-density CMOS arrays to investigate the development and plasticity of these networks (in collaboration with Professor Andreas Hierlemann, at ETH, Switzerland). Rodent cortex: We use microelectrode arrays to measure spatiotemporal activity patterns in the cortex of rodents, and decode these patterns with the help of information theory and machine learning. Furthermore, with behavioral experiments, neural representations of subjective information, e.g., perception, emotion and preference are also of interest.
Electrocorticograms of epileptic patients: Population activities of neural systems become uncontrollable during an epileptic seizure. To better understand how population activities are coordinated in the brain, we are interested in the mechanism of epilepsy and seizure control (in collaboration with Professor Kensuke Kawai, at the University of Tokyo Hospital).



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