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Long-term Sensory Conflict in Freely Behaving Mice
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自动运动的内部模型:由前置大脑小脑的神经计算
1Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21205, USA; Department of Otolaryngology - Head and Neck Surgery, Johns Hopkins University, Baltimore, MD 21205, USA; Department of Neuroscience, Johns Hopkins University, Baltimore, MD 21205, USA; Kavli Neuroscience Discovery Institute, Johns Hopkins University, Baltimore, MD 21205, USA.
Trends in neurosciences
|September 22, 2023
概括
前置小脑对平衡和稳定的知觉至关重要. 它集成前体和其他感觉数据来模拟运动和方向,在主动自动运动期间不断更新以获得精确的运动控制.
科学领域:
- 神经科学是一个神经科学.
- 大脑小叶的功能
背景情况:
- 前置小脑对平衡和知觉稳定至关重要.
- 关键区域包括花叶,前垂体和结节/腹膜.
- 这些区域整合了前置和外置信号,用于运动和方向建模.
研究的目的:
- 检查前置大脑中关键区域内的计算.
- 探索自我运动期间更新的神经机制.
- 审查关于主动自我运动和预测建模的研究.
主要方法:
- 对前置大脑功能现有文献的综述.
- 对专注于被动和主动前庭刺激的研究进行分析.
- 考虑研究小脑中预测建模的研究.
主要成果:
- 垂体小脑区域编码和结合感官信息.
- 神经机制不断更新,以提供准确的运动行为.
- 主动自动运动研究强调小脑在预测建模中的作用.
结论:
- 前置小脑对于保持平衡和感知稳定至关重要.
- 它建立了内部的运动和定向模型,以适应动态环境.
- 新出现的证据表明它在自我生成运动期间的预测建模中的作用.
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