用循环闭合机制解释记忆与意识,强调持久不变量是智能核心。
Cycle is All You Need: More Is Different
- 以神经状态空间中的循环闭合为记忆本质,区分瞬时探索与稳定编码。
- 生物上通过延迟锁定放电与θ-γ节律实现微循环,支持长期一致性。
- 适合关注认知机制、神经计算或通用智能的学者阅读。
我们提出一种信息拓扑框架,认为循环闭合是记忆与意识的根本机制。记忆并非静态存储,而是重新进入神经状态空间中潜在循环的能力;不变循环作为意义载体,过滤顺序特异性噪声并保留跨情境的恒定内容。点-环二分法揭示:瞬时点支撑探索,非平凡循环编码低熵内容不变量以稳定记忆。生物层面,多时序神经群通过延迟锁定放电并由尖峰时间依赖可塑性(STDP)强化,形成1-循环,嵌套于θ-γ节律中实现边界抵消。这些微循环层级组合,将导航环扩展为通用记忆与认知。感知-行动循环引入高阶不变性:闭合在感知与动作交替间依然成立,泛化了祖先归巢行为。层-余层对偶形式化该过程:层将感知片段粘合成全局截面,余层将全局计划分解为动作,闭合使自上而下预测与自下而上循环对齐。意识由此产生于高阶不变量的持续存在,整合(统一性)又区分(丰富性)于不同情境。结论:循环即一切——持久不变量使智能在非遍历环境中实现泛化,并以最低能耗维持长期连贯性。
原文摘要 · Abstract (English)
We propose an information-topological framework in which cycle closure is the fundamental mechanism of memory and consciousness. Memory is not a static store but the ability to re-enter latent cycles in neural state space, with invariant cycles serving as carriers of meaning by filtering order-specific noise and preserving what persists across contexts. The dot-cycle dichotomy captures this: transient dots scaffold exploration, while nontrivial cycles encode low-entropy content invariants that stabilize memory. Biologically, polychronous neural groups realize 1-cycles through delay-locked spiking reinforced by STDP, nested within theta-gamma rhythms that enforce boundary cancellation. These micro-cycles compose hierarchically, extending navigation loops into general memory and cognition. The perception-action cycle introduces high-order invariance: closure holds even across sense-act alternations, generalizing ancestral homing behavior. Sheaf-cosheaf duality formalizes this process: sheaves glue perceptual fragments into global sections, cosheaves decompose global plans into actions and closure aligns top-down predictions with bottom-up cycles. Consciousness then arises as the persistence of high-order invariants that integrate (unity) yet differentiate (richness) across contexts. We conclude that cycle is all you need: persistent invariants enable generalization in non-ergodic environments with long-term coherence at minimal energetic cost.
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