用神经元胞自动机模拟记忆传递，实现隐藏信息的跨细胞传播
EngramNCA: a Neural Cellular Automaton Model of Memory Transfer
- 设计双模块神经胞自动机，区分可见形态与细胞内私有记忆通道
- 通过共享基因底座生成多样结构，支持多层次共存形态演化
- 为生物记忆机制和自组织系统提供新思路，适合研究记忆建模的学者
本研究提出EngramNCA，一种融合公开状态与细胞内部私有记忆通道的神经胞自动机（NCA），受新兴生物学证据启发，该证据表明记忆存储不仅限于突触改变，还涉及细胞内机制。模型包含两个部分：GeneCA，一个从含不可变‘基因’编码的种子细胞中训练出特定形态的NCA；GenePropCA，一个辅助NCA，可调节细胞的私有‘遗传’记忆而不改变其可见状态。该架构通过可见与私有通道的交互，实现复杂形态的编码与传播，使多种结构能从共同的‘基因’基底生长出来。EngramNCA支持层次化及共存形态的出现，揭示了人工系统中去中心化记忆存储与传递的可能。这些发现对自适应、自组织系统的开发具有潜在意义，并有助于深化对生物与合成系统中记忆机制的理解。
原文摘要 · Abstract (English)
This study introduces EngramNCA, a neural cellular automaton (NCA) that integrates both publicly visible states and private, cell-internal memory channels, drawing inspiration from emerging biological evidence suggesting that memory storage extends beyond synaptic modifications to include intracellular mechanisms. The proposed model comprises two components: GeneCA, an NCA trained to develop distinct morphologies from seed cells containing immutable "gene" encodings, and GenePropCA, an auxiliary NCA that modulates the private "genetic" memory of cells without altering their visible states. This architecture enables the encoding and propagation of complex morphologies through the interaction of visible and private channels, facilitating the growth of diverse structures from a shared "genetic" substrate. EngramNCA supports the emergence of hierarchical and coexisting morphologies, offering insights into decentralized memory storage and transfer in artificial systems. These findings have potential implications for the development of adaptive, self-organizing systems and may contribute to the broader understanding of memory mechanisms in both biological and synthetic contexts.
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