Cellular Neural Networks Theory

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• Neural Cellular Automataframework0.803
  Prior framework combining cellular automata with deep learning, extended by this work
• Neural Networksconcept0.795
• Neural networks and physical systems with emergent collective computational abilities (Hopfield, 1982)concept0.779
  Original Hopfield network paper; the attractor dynamics in TEM memory retrieval are a continuous version of this.
• Growing Neural Cellular Automataframework0.763
  Specific NCA framework by Mordvintsev et al. for morphogenesis, whose conventions are adopted in this paper
• Mirror Neuron Theoryframework0.761
  Neuroscientific theory suggesting empathy is mediated by neural self-other overlap; motivates SOO approach
• Neural networks, trained with different objectives on different data and modalities, are converging to a shared statistical model of reality in their representation spaces.quote0.750
  The paper's central thesis statement, presented prominently after the abstract
• Neural networks show substantial alignment with biological representations in the brain, driven by shared task and data constraintsclaim0.744
  Extends convergence argument to brain-machine alignment
• Bioelectric networks scale cell computation into anatomical homeostasis and are a mechanism for evolving larger Selves.claim0.742
  Developmental bioelectricity is proposed as a tractable entry point to understand the informational architecture of collective intelligence in morphogenesis.