发表机构
University of Maryland, College Park; Université du Luxembourg（马里兰大学帕克分校; 卢森堡大学）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
本文反驳大脑为固定控制层级，提出控制是关系性、过程特异的谱系，由动力学解耦索引，并产生可检验预测。
AI 中文摘要
神经科学将大脑视为一个控制层级，皮层系统支配皮层下机制。我们认为这混淆了配置与架构。局部影响力的不对称性是真实的，但控制是关系性的且特定于过程的；由于神经元素在并发过程中相互约束，关系可形成循环，从而抵抗稳定的排序。来自习得行动、皮层-小脑和丘脑-皮层回路以及防御行为的证据表明，控制随练习、任务阶段、紧迫性、生存需求和可供性而变化。因此，层级顺序表征了时间受限的配置，而异archy则表征了架构在不同场合下的全部可能性。我们提出一个由动力学解耦索引的控制谱系：行为在多大程度上可依赖于历史、内部状态和预期后果。该解释产生了可实验检验的预测。
英文摘要
Neuroscience treats the brain as a control hierarchy, with cortical systems governing subcortical mechanisms. We argue that this mistakes a configuration for an architecture. Local asymmetries of influence are real, but control is relational and process-specific; because neural elements constrain one another across concurrent processes, relations can form cycles that resist a stable ranking. Evidence from learned action, cortico-cerebellar and thalamocortical loops, and defensive behavior shows that control changes with practice, task phase, urgency, viability demands, and affordances. Hierarchical order therefore characterizes time-bounded configurations, whereas heterarchy characterizes the architecture's repertoire across occasions. We propose a spectrum of control indexed by dynamical decoupling: how far behavior can depend on history, internal state, and anticipated consequences. The account yields experimentally testable predictions.
Comments25 pages, 2 figures, 1 box
