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.

中文翻译：

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关于外周感觉神经元的速率编码反应

可以使用信息论、渐近贝叶斯统计和复杂系统理论推导出在渐近、接近平衡极限中单个外周感觉神经元的速率编码响应。几乎不需要生物学知识。理论表达式与跨越不同感官方式和动物物种的尖峰频率适应数据显示出良好的一致性。该方法允许发现新的神经生理学方程，并与统计物理学有相似之处。