Can Gene Regulatory Networks Be Trained And Modified

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• Gene Regulatory Networksframework0.834
• Gene regulatory networks exhibit associative learning capacity and can be trained via environmental stimuli, not only via genetic rewiring.hypothesis0.828
  Challenges mechanistic view of GRNs; suggests they occupy higher position on persuadability axis than previously assumed.
• Gene regulatory networks may exhibit learning capacity.claim0.815
  Recent models show GRNs can perform associative learning and pattern completion.
• Can Gene Regulatory Networks And Nonneural Biological Systemsquestion0.815
• Gene regulatory networks exhibit associative learningfinding0.791
  Evidence that non-neural systems meet Crump's criterion #7; supports generalization of sentience criteria beyond neural substrates.
• Gene Regulatory Networks (GRNs)concept0.790
  Systems of molecular regulation exhibiting associative learning and downward causation; example of misplaced mechanistic assumptions.
• Gene regulatory network models exhibit associative learning and pattern completion.finding0.782
  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 can evolve associative memory, storing and recalling multiple phenotypes from partial selective cues (Watson et al. 2010)finding0.772
  Demonstrates information integration in evolutionary systems with system-level selection