本頁只刊出中文翻譯與中文說明；英文原文請見下方原文連結。
原文連結
論文資訊
- 類型：已發表論文
- 日期：2021-07-15
摘要
Neurons are connected by complex branching processes - axons and dendrites - that collectively process 資訊 for organisms to respond to their environment. Classifying neurons according to differences in structure or function is a fundamental part of neuroscience. Here, by constructing new biophysical theory and testing against our empirical measures of branching structure, we establish a correspondence between neuron structure and function as mediated by principles such as time or power minimization for 資訊 processing as well as spatial constraints for forming connections. Specifically, based on these principles, we use undetermined Lagrange multipliers to predict 縮放律 ratios for axon and dendrite sizes across branching levels. We test our predictions for radius and length scale factors agains
※ 此為已發表論文，全文需透過期刊付費取得