期刊
JOURNAL OF NEUROPHYSIOLOGY
卷 122, 期 6, 页码 2548-2567出版社
AMER PHYSIOLOGICAL SOC
DOI: 10.1152/jn.00087.2019
关键词
Bayesian; neural models; spike train; stochastic process; vestibular
资金
- National Institute of Deafness and Other Communications Disorders Grant [DC014368]
- New Zealand Performance-Based Research Fund
Semicircular canal afferent neurons transmit information about head rotation to the brain. Mathematical models of how they do this have coevolved with concepts of how brains perceive the world. A 19th-century camera metaphor, in which sensory neurons project an image of the world captured by sense organs into the brain, gave way to a 20th-century view of sensory nerves as communication channels providing inputs to dynamical control systems. Now, in the 21st century, brains are being modeled as Bayesian observers who infer what is happening in the world given noisy, incomplete, and distorted sense data. The semicircular canals of the vestibular apparatus provide an experimentally accessible, low-dimensional system for developing and testing dynamical Bayesian generative models of sense data. In this review, we summarize advances in mathematical modeling of information transmission by semicircular canal afferent sensory neurons since the first such model was proposed nearly a century ago. Models of information transmission by vestibular afferent neurons may provide a foundation for developing realistic models of how brains perceive the world by inferring the causes of sense data.
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