临界性
计算机科学
混乱的边缘
认知科学
认知
自组织临界性
公制(单位)
神经科学
随机性
领域(数学)
心理学
人工智能
物理
数学
工程类
运营管理
统计
核物理学
纯数学
作者
Jordan O’Byrne,Karim Jerbi
标识
DOI:10.1016/j.tins.2022.08.007
摘要
Criticality is the singular state of complex systems poised at the brink of a phase transition between order and randomness. Such systems display remarkable information-processing capabilities, evoking the compelling hypothesis that the brain may itself be critical. This foundational idea is now drawing renewed interest thanks to high-density data and converging cross-disciplinary knowledge. Together, these lines of inquiry have shed light on the intimate link between criticality, computation, and cognition. Here, we review these emerging trends in criticality neuroscience, highlighting new data pertaining to the edge of chaos and near-criticality, and making a case for the distance to criticality as a useful metric for probing cognitive states and mental illness. This unfolding progress in the field contributes to establishing criticality theory as a powerful mechanistic framework for studying emergent function and its efficiency in both biological and artificial neural networks.
科研通智能强力驱动
Strongly Powered by AbleSci AI