The conservation of molecular mechanisms between neural and non-neural bioelectricity is why neuroscience tools work everywhere in the body.

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• Neural bioelectric networks achieve a critical separation of hardware and software: the same molecular substrate can instantiate different informational content based on history, enabling minds to arise from matter.claim0.847
  Foundational for understanding how physiology becomes meaning; decoupling of material state from information content is prerequisite for emergence of cognitive Self.
• Cognitive capacities evolve through continuity across natural, hybrid, and synthetic life forms using conserved bioelectric mechanismsclaim0.805
• Bioelectric networks scale cell computation into anatomical homeostasis and are a mechanism for evolving larger Selves.claim0.804
  Developmental bioelectricity is proposed as a tractable entry point to understand the informational architecture of collective intelligence in morphogenesis.
• Bioelectricity serves as a ‘cognitive glue’ common to collective and individual intelligence, binding cells into competent individuals in both behaviour and morphogenetic spaces.claim0.796
  Identifies bioelectric networks as the medium of basal cognition.
• The bioelectric system is so versatile that it was readily exapted for behavior when nerve and muscle evolved, with a speed-up and focus on temporal signaling.claim0.795
  Explains the evolutionary pivot from morphospace to behavioral space.
• All neuronal processing and action selection minimize variational free energy, unifying perception, action, and learning.claim0.795
  Fundamental assertion: single imperative (free energy minimization) explains diverse cognitive and neural phenomena.
• Evolution was using developmental bioelectricity long before neurons and muscles appeared, to solve the problem of creating and repairing complex bodies.claim0.793
  Claim about the primacy of bioelectric morphogenesis.
• The huge chemical complexity within each synapse suggests that neural models of cognition that refer only to changing weights of synaptic connections and ignore sub-neural chemistry are probably ignoring some of the most important explanatory mechanisms in brains.claim0.793
  Sloman's critique of mainstream neural network theories.