Multi-neuronal activity-cell assembly-brain-machine interface

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  • SAKURAI Yoshio
    Department of Psychology, Graduate School of Letters, Kyoto University and CREST, Japan Science and Technology Agency

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  • マルチニューロン活動-セル・アセンブリ-ブレインマシン-インタフェース
  • マルチニューロン カツドウ セル アセンブリ ブレイン マシン インタフェース

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Abstract

The present review discusses why multi-neuronal recording is requisite to detect real features of information processing in the working brain. We introduce several technical key points and to-be-solved problems in the recording experiments. Then we refer to “cell-assembly”, ensemble activity of functionally connected neurons, as a functional unit representing neural information in the brain. Several relevant points concerning detection of the actual dynamics of cell assemblies are enumerated. Finally we introduce a rapidly growing research subject, brain-machine interface (BMI). It tries to detect and utilize neural information by cell assemblies in the working brain to operate artificial devices instead of the animal or human bodies. Multi-neuronal recording and analyzing systems detecting actual cell assemblies are keys to construct successful BMI. We finally show a newly developed and high performance system for our BMI research, which can detect precise submillisecond activity interactions among closely neighboring neurons in the behaving animal. (Japanese Journal of Physiological Psychology and Psychophysiology, 24 (1) : 57-67, 2006.)

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