Published in Nature, the researchers found that activations in the virtual control network accurately predicted neural activity measured from the brains of real rats producing the same behaviors.
The feat represents a new approach to studying how the brain controls movement, leveraging advances in deep reinforcement learning, AI, and 3D movement-tracking in freely behaving animals.
DeepMind had developed a pipeline to train biomechanical agents to move around complex environments. We simply didn't have the resources to run simulations like those, to train these networks.
Working with the Harvard researchers was, likewise, 'a really exciting opportunity for us,' said co-author and Google DeepMind Senior Director.
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