Decoding decision making and planning signal from multiple cortical areas for a cognitive-based brain-machine interface
| Project/Area Number |
21700375
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Single-year Grants |
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| Research Field |
Neuroscience in general
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| Research Institution | The Institute of Physical and Chemical Research |
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Principal Investigator |
CHAO Zenas The Institute of Physical and Chemical Research, 適応知性研究チーム, 研究員 (30532113)
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| Project Period (FY) |
2009 – 2010
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| Project Status |
Completed (Fiscal Year 2010)
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| Budget Amount *help |
¥4,680,000 (Direct Cost: ¥3,600,000、Indirect Cost: ¥1,080,000)
Fiscal Year 2010: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
Fiscal Year 2009: ¥4,030,000 (Direct Cost: ¥3,100,000、Indirect Cost: ¥930,000)
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| Keywords | ブレインマシーンインターフェイス / 皮質電図 / デコード / 意思決定 / 計画 / ブレインマシンインターフェイス / 認知 / サル / 長期 |
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| Research Abstract |
My main objective is to decode high level brain signals for decision making and planning, and their integration, by using electrocorticographic (ECoG) signals in monkeys. During the project duration, we successfully implanted 128-channel ECoG arrays in monkeys, covering the widest area that had been reported. We also established a novel ECoG-based decoding system and demonstrated that ECoG signals carry rich information for high-dimensional intended movements, visual and auditory processing, and high-level cognitive functions, such as social reasoning.
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Report
(3 results)
Research Products
(24 results)
