EngramNCA: a Neural Cellular Automaton Model of Memory Transfer
April 16, 2025 ยท Declared Dead ยท ๐ IEEE Symposium on Artificial Life
"No code URL or promise found in abstract"
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Authors
Etienne Guichard, Felix Reimers, Mia Kvalsund, Mikkel Lepperรธd, Stefano Nichele
arXiv ID
2504.11855
Category
cs.NE: Neural & Evolutionary
Cross-listed
cs.AI
Citations
3
Venue
IEEE Symposium on Artificial Life
Last Checked
4 months ago
Abstract
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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