A Novel Smooth Pursuit Model Based on Recurrent Neural Connections in the MST Cell Population

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概要

• 論文の詳細を見る

• Some neurons in the MST area have an extraretinal activity during smooth pursuit eye movement. It is currently unknown, however, where this signal originates and what functional role it plays in smooth pursuit. Here, we propose a smooth pursuit model based on the recurrent neural connections of cell population in the MST area, and show the possibility that the non-visual activity in the MST area is generated by the MST own dynamics. Finally, we propose the hypothesis that the MST area integrates the past retinal slip signals and calculates the desired trajectory signals for the inverse dynamics model postulated in the cerebellum for smooth pursuit maintenance.

• 社団法人電子情報通信学会の論文
• 2003-04-01

著者

• SHIBATA Tomohiro

  Nara Institute of Science and Technology

• KAWATO Mitsuo

  Nara Institute of Science and Technology

• SHIBATA Tomohiro

  Metalearing and Neuromodulation, CREST, Japan Science and Technology Corporation

• TABATA Hiromitsu

  Graduate School of Medicine, Kyoto University

• KAWATO Mitsuo

  ATR Computational Neuroscience Labs

• Tabata Hiromitsu

  Nara Institute Of Science And Technology:national Institute Of Advanced Industrial Science And Techn

• Kawato Mitsuo

  Nara Institute Of Science And Technology:atr Human Information Science Laboratories

• Shibata Tomohiro

  Nara Institute Of Science And Technology:atr Human Information Science Laboratories

• TAGUCHI Shinya

  Nara Institute of Science and Technology

• Taguchi Shinya

  Nara Institute Of Science And Technology:atr Human Information Science Laboratories

• Shibata Tomohiro

  Nara Inst. Sci. And Technol. Nara Jpn

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• A Novel Smooth Pursuit Model Based on Recurrent Neural Connections in the MST Cell Population
• Transformation Learning of Neural Representation from Population Codes to Firing Rate Codes in Smooth Pursuit Eye Movements
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