Associative learning criterion can occur in gene regulatory networks and non-neural morphogenetic agents

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• Associative learning occurs in gene regulatory networks and other non-neural systems, making it substrate-independent.claim0.903
• Gene regulatory networks exhibit associative learningfinding0.884
  Evidence that non-neural systems meet Crump's criterion #7; supports generalization of sentience criteria beyond neural substrates.
• Gene regulatory network models exhibit associative learning and pattern completion.finding0.860
  Analysis of GRN models shows they can perform several kinds of learning, supporting the view of cellular networks as agents on a cognitive continuum.
• Gene regulatory networks exhibit associative learning capacity and can be trained via environmental stimuli, not only via genetic rewiring.hypothesis0.852
  Challenges mechanistic view of GRNs; suggests they occupy higher position on persuadability axis than previously assumed.
• Gene regulatory networks can evolve associative memory, storing and recalling multiple phenotypes from partial selective cues (Watson et al. 2010)finding0.849
  Demonstrates information integration in evolutionary systems with system-level selection
• Gene regulatory networks may exhibit learning capacity.claim0.828
  Recent models show GRNs can perform associative learning and pattern completion.
• How Do Individual Cells Exhibit Associative Learning Andquestion0.820
• If cellular collectives are learning agents, then reinforcement learning protocols should be able to train tissues to produce specific morphologies.hypothesis0.784
  Ongoing experimental test: using rewards and punishments to shape anatomical outcomes without micromanaging molecular pathways.