Cultured neural tissue controls virtual animat behavior via learned associations

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• Neural cultures learn to control virtual and robotic bodies in closed-loop systemsfinding0.815
• Cultured neural networks can learn to navigate a maze via closed-loop feedback.finding0.762
  From DeMarse et al. (2001) and Bakkum et al. (2007), demonstrating learning in hybrid systems.
• Animal brains learn to control robotic bodiesfinding0.743
• If cellular collectives are learning agents, then reinforcement learning protocols should be able to train tissues to produce specific morphologies.hypothesis0.742
  Ongoing experimental test: using rewards and punishments to shape anatomical outcomes without micromanaging molecular pathways.
• MEART created drawings with neural control and showed learning when training stimulus was updated.finding0.740
  From Bakkum et al. (2007b), demonstrates closed-loop learning in a hybrot.
• Agents who have undergone stable emptiness realisation will exhibit neural dynamics closer to criticality than matched controlshypothesis0.740
  Primary empirical prediction derived from the reduced VFE of the post-dual agent
• The neural crest acts as an intelligently migrating collective that can alter individual cell behavior to achieve target morphology.claim0.738
  Specific claim illustrating collective intelligence in a well-studied embryonic system.
• Morphogenetic and behavioral problem-solving share deep algorithmic and mechanistic symmetries, with bioelectric networks serving both developmental and neural functions via evolutionary pivot.hypothesis0.735
  Testable prediction that insights from developmental bioelectricity can illuminate behavioral cognition and vice versa; grounds portability of neuroscience tools across tissue types.