In analysis of current ToCs, the operations and functional principles of most ToCs are not confined to neural substrates.

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• The operations and functional principles of most contemporary theories of consciousness are not confined to neural substrates.finding0.866
  Primary empirical result from comparative analysis of major consciousness theories.
• Most theories of consciousness are already substrate-neutral; neurocentric readings are convention, not content commitment.claim0.783
• Cognition and learning are substrate-independent; principles familiar in artificial neural networks can be implemented by any network of signals with suitable weighted inputs.claim0.781
  Central thesis enabling unification of neural, developmental, ecological, and social networks as instances of collective intelligence.
• neural substratesconcept0.780
  Brain-based physical implementations of consciousness-related functions, assumed by many ToCs to be exclusive.
• The focus on brains as substrate of consciousness is driven by convention rather than by the specific content of existing theories of consciousness.claim0.777
  Central empirical claim: authors surveyed major ToCs and found their operations are not confined to neural substrates.
• Neural networks compute cyclic concepts in generic substrate machinery (base-10 addition) not naturally cyclic computation.claim0.765
• The deep insights of neurobiology have relevance far beyond neurons.claim0.765
  Claim that principles of neurobiology apply to other tissues and systems.
• 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.claim0.761
  Sloman's critique of mainstream neural network theories.