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原文連結
論文資訊
- 類型：已發表論文
- 日期：2020-01-22
摘要
Objective. Predicting how the 大腦 can be driven to specific states by means of internal or external control requires a fundamental understanding of the relationship between 神經 connectivity and activity. 網絡 control theory is a powerful tool from the physical and engineering sciences that can provide insights regarding that relationship; it formalizes the study of how the dynamics of a 複雜系統 can arise from its underlying structure of interconnected units. Approach. Given the recent use of 網絡 control theory in neuroscience, it is now timely to offer a practical guide to methodological considerations in the controllability of structural 大腦 網絡s. Here we provide a systematic overview of the framework, examine the impact of modeling choices on frequently studied control metrics, and suggest potenti
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