Wong Willy
Department of Electrical and Computer Engineering and Institute of Biomedical Engineering, University of Toronto, Toronto, M5S3G4, Canada.
Biol Cybern. 2020 Dec;114(6):609-619. doi: 10.1007/s00422-020-00848-4. Epub 2020 Dec 8.
The rate coding response of a single peripheral sensory neuron in the asymptotic, near-equilibrium limit can be derived using information theory, asymptotic Bayesian statistics and a theory of complex systems. Almost no biological knowledge is required. The theoretical expression shows good agreement with spike-frequency adaptation data across different sensory modalities and animal species. The approach permits the discovery of a new neurophysiological equation and shares similarities with statistical physics.
在渐近、接近平衡极限条件下,单个外周感觉神经元的速率编码响应可通过信息论、渐近贝叶斯统计和复杂系统理论推导得出。几乎无需生物学知识。该理论表达式与不同感觉模态和动物物种的峰频率适应性数据显示出良好的一致性。该方法有助于发现一个新的神经生理方程,并且与统计物理学有相似之处。