The decoupling of the material state (protein content) from the information content is the first step to the most amazing aspect of neural networks: they enable mind to arise from matter.

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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.claim0.837
  Foundational for understanding how physiology becomes meaning; decoupling of material state from information content is prerequisite for emergence of cognitive Self.
• Cognition and learning are substrate-independent; principles familiar in artificial neural networks can be implemented by any network of signals with suitable weighted inputs.claim0.806
  Central thesis enabling unification of neural, developmental, ecological, and social networks as instances of collective intelligence.
• 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.claim0.802
  Sloman's critique of mainstream neural network theories.
• Neural networks and physical systems with emergent collective computational abilities (Hopfield, 1982)concept0.800
  Original Hopfield network paper; the attractor dynamics in TEM memory retrieval are a continuous version of this.
• There is no privileged material substrate for Selves; cognition can arise in neurons, single cells, plants, tissues, swarms, and engineered systems.claim0.789
  Second foundational pillar of TAME; supports basal cognition and rejects brain-centrism.
• Learning neural networks can enable 'chunking' and rescale problem-solving to higher organizational levels, a mechanism intrinsic to transitions in individuality.hypothesis0.789
• "The cognitive glue that enables emergent agents to support associative memories over their subunits is neural bioelectricity"quote0.787
  Captures the proposed role of bioelectricity in binding cells into unified agents.
• Neural networks, trained with different objectives on different data and modalities, are converging to a shared statistical model of reality in their representation spaces.quote0.786
  The paper's central thesis statement, presented prominently after the abstract