The Harvard-Google DeepMind collaboration has developed an artificial neural network that can control a virtual rat’s movements in a realistic physics simulation, mimicking how biological brains coordinate complex behaviors. This virtual rat brain model offers new insights into neural mechanisms related to motor control, cognition, and neurological disorders. By using advanced machine learning techniques and high-fidelity simulations, this breakthrough has the potential to advance neuroscience, robotics, and our understanding of biological intelligence. The collaboration between Harvard and Google DeepMind has created a groundbreaking artificial neural network that can control a virtual rat’s movements in a physics simulation. This model mimics how biological brains coordinate complex behaviors, offering insights into neural mechanisms related to motor control, cognition, and neurological disorders. By combining advanced machine learning techniques with high-fidelity simulations, this breakthrough has the potential to transform neuroscience, robotics, and our understanding of biological intelligence.
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#GoogleDeepMindAI unlocks secrets of real brains in research. #Neuroscience
