DIME架构：神经表示、动态、控制与整合的统一操作算法
The DIME Architecture: A Unified Operational Algorithm for Neural Representation, Dynamics, Control and Integration
AI总结：
本文提出DIME架构，整合感知、记忆、估值和意识访问，通过四个交互组件提供统一计算框架，符合神经科学实验证据并为人工智能提供新范式。
摘要：
现代神经科学积累了关于感知、记忆、预测、估值和意识的大量证据，但仍缺乏一个能将这些现象整合到统一计算框架中的显式操作架构。本文引入DIME（检测-整合-标记-执行）架构，通过四个交互组件：engrams、分布式递归神经结构、执行线程、标记系统和hyperengrams，整合感知、记忆、估值和意识访问。该框架符合海马体索引、皮层递归处理、回放现象、大规模网络整合和神经调节的实验证据，并为人工智能和机器人提供统一机制的建筑模板。
英文摘要：
Modern neuroscience has accumulated extensive evidence on perception, memory, prediction, valuation, and consciousness, yet still lacks an explicit operational architecture capable of integrating these phenomena within a unified computational framework. Existing theories address specific aspects of neural function: predictive coding and active inference emphasize hierarchical inference and prediction error minimization; engram theories explain memory through distributed cell assemblies; neuromodulatory accounts focus on value-dependent regulation of plasticity and behaviour; and global workspace or large-scale network models investigate mechanisms underlying conscious access. Despite their explanatory power, these approaches remain only partially integrated at the architectural level. This work introduces DIME (Detect-Integrate-Mark-Execute), a neural architecture organizing perception, memory, valuation, and conscious access within a common operational cycle. The framework includes four interacting components: engrams, distributed recurrent neural structures supporting multiple activation trajectories; execution threads, spatiotemporal trajectories implementing neural processes; marker systems, neuromodulatory and limbic mechanisms regulating gain, plasticity, and trajectory selection; and hyperengrams, large-scale integrative states associated with operational conscious access. The framework is consistent with empirical evidence from hippocampal indexing, recurrent cortical processing, replay phenomena, large-scale network integration, and neuromodulatory regulation. Formulated at an abstract computational level, DIME may also inform artificial intelligence and robotics by providing an architectural template in which representation, valuation, and temporal sequencing emerge from a unified mechanism. An extended theoretical exposition is available in a companion monograph on Zenodo.
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