当前位置: X-MOL 学术Annu. Rev. Psychol. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Cognitive, Systems, and Computational Neurosciences of the Self in Motion
Annual Review of Psychology ( IF 24.8 ) Pub Date : 2022-01-04 , DOI: 10.1146/annurev-psych-021021-103038
Jean-Paul Noel 1 , Dora E Angelaki 1, 2
Affiliation  

Navigating by path integration requires continuously estimating one's self-motion. This estimate may be derived from visual velocity and/or vestibular acceleration signals. Importantly, these senses in isolation are ill-equipped to provide accurate estimates, and thus visuo-vestibular integration is an imperative. After a summary of the visual and vestibular pathways involved, the crux of this review focuses on the human and theoretical approaches that have outlined a normative account of cue combination in behavior and neurons, as well as on the systems neuroscience efforts that are searching for its neural implementation. We then highlight a contemporary frontier in our state of knowledge: understanding how velocity cues with time-varying reliabilities are integrated into an evolving position estimate over prolonged time periods. Further, we discuss how the brain builds internal models inferring when cues ought to be integrated versus segregated—a process of causal inference. Lastly, we suggest that the study of spatial navigation has not yet addressed its initial condition: self-location.

中文翻译:


运动中自我的认知、系统和计算神经科学

通过路径整合进行导航需要不断地估计一个人的自我运动。该估计可以从视觉速度和/或前庭加速度信号得出。重要的是,这些孤立的感觉无法提供准确的估计,因此视觉前庭整合势在必行。在总结了所涉及的视觉和前庭通路之后,这篇综述的重点是人类和理论方法,这些方法已经概述了行为和神经元中的线索组合的规范性解释,以及正在寻找它的系统神经科学工作。神经实现。然后,我们强调了我们知识状态中的一个当代前沿:了解如何将具有时变可靠性的速度线索整合到长时间内不断变化的位置估计中。进一步,我们讨论了大脑如何建立内部模型来推断线索何时应该被整合与分离——一个因果推理的过程。最后,我们建议空间导航的研究尚未解决其初始条件:自我定位。

更新日期:2022-01-05
down
wechat
bug