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原文連結
論文資訊
- 類型：已發表論文
- 日期：2022-12-02
摘要
Neurons are connected by complex branching processes—axons and dendrites—that 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 biophysical theory and testing against empirical measures of branching structure, we develop a general model that establishes 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. We test our predictions for radius scale factors against those extracted from neuronal images, measured for 物種 that range from insects to whales, including data from light and electron microscopy studies. Notably, our
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