Animal brains learn to control robotic bodies

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• Neural cultures learn to control virtual and robotic bodies in closed-loop systemsfinding0.817
• The 'muscle' itself—peripheral biological tissue—can learn and make decisions autonomously, not just centralized control units like the brainclaim0.782
  Theoretical claim that physical learning reveals non-modular information processing; contrasts traditional view of separated control (brain) from controlled elements (muscle)
• The collective intelligence of tissues is sophisticated enough to be trainable via reinforcement learning for specific morphological outcomes.hypothesis0.751
  Ongoing test prediction: tissues can associate stimuli with rewards to modify anatomy.
• Cultured neural tissue controls virtual animat behavior via learned associationsfinding0.743
  Demonstrates neural culture can learn relationships between its activity and sensory feedback without evolutionary training.
• Morphogenesis could be trainable via reinforcement learning, enabling a new path to anatomical control in regenerative medicine.claim0.742
  Suggests training tissues as an alternative to micromanaging molecular pathways.
• These methods make it possible to control AI behavior more precisely and with far fewer human labels.quote0.739
  Highlights the practical impact of CAI.
• Can Neurons From Other Modalities Beyond Motor Controlquestion0.737
• Human consciousness is tied to a biological learning algorithm — the simplest algorithm discoverable by evolutionary search to train a self-organizing biological substrate to become intelligent.claim0.734
  Core theoretical claim connecting consciousness to biological learning