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原文連結
論文資訊
- 類型：已發表論文
- 日期：2025-02-14
摘要
The 大腦 is immensely complex, with diverse components and dynamic interactions building upon one another to orchestrate a wide range of behaviors. Understanding patterns of these complex interactions and how they are coordinated to support collective 神經 function is critical for parsing human and animal behavior, treating mental illness, and developing 人工智慧. Rapid experimental advances in imaging, recording, and perturbing 神經 systems across various 物種 now provide opportunities to distill underlying principles of 大腦 organization and function. Here, we take stock of recent progress and review methods used in the 統計 analysis of 大腦 網絡s, drawing from fields of 統計 physics, 網絡 theory, and 資訊 theory. Our discussion is organized by scale, starting with models of individual neurons and extending to la
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