自动运动感知和顺序决策:我们走向何方?
Steven J Jerjian1, Devin R Harsch1,2, Christopher R Fetsch1
1Solomon H. Snyder Department of Neuroscience, Zanvyl Krieger Mind/Brain Institute, Johns Hopkins University, Baltimore, MD 21218, USA.
概括
动物使用多感官集成来感知自我运动和导航. 这项研究将决策模型扩展到包括对标题歧视的信心,以提高空间意识.
科学领域:
- 神经科学是一个神经科学.
- 计算神经科学是一种神经科学.
- 感官系统 感官系统
背景情况:
- 准确的自我运动感知对于动态环境中的适应性行为至关重要.
- 多感官集成,结合视觉,前体和动感输入,是这一过程的基础.
- 理想的观察者模型已经从视觉和前体信号中阐明了方向感知.
研究的目的:
- 扩大多感官决策模型,以纳入对标题歧视的信任.
- 调查时间和确定性在导航多感官决策中的作用.
- 通过先进的实验范式来弥合自我运动感知和导航之间的差距.
主要方法:
- 总结一个多感官决策的领先模型.
- 扩展模型以量化对标题歧视任务的信心.
- 预览使用闭环虚拟现实和主动自动运动的研究.
主要成果:
- 模型可以扩展到研究对多感官标题歧视的信心.
- 时间和确定性是导航多感官决策的关键因素.
- 具有大规模神经记录的伦理启发任务提供了新的见解.
结论:
- 信心估计对于及时采取行动和在航行中顺序决策至关重要.
- 像虚拟现实和主动自动运动这样的先进方法可以增强对空间感知的理解.
- 进一步的研究有望对行为动物的空间感知和决策作出更深入的见解.
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