When tested, the model was able to accurately predict neural activity in brains of real rats to produce same behavior.Reseachers at Harvard University, in collaboration with Google’s Deep Mind AI lab, have created a virtual rat model with an artificial brain that can mimic movements like its natural counterpart.), Diego Aldarondo, a graduate student at Harvard who was involved in the work, said that challenges were both in hardware and software.
While on the software side, he mentioned that the hurdles are developing efficient physics simulations and machine learning pipelines to train controllers to emulate human movement. Along with Bence Ölveczky, a professor at the Department of Organismic and Evolutionary Biology, and other researchers at Harvard andThe researchers teamed up with Google DeepMind since the platform has developed tools to train artificial neural networks that can help control biomechanical models of animals in physics simulators.
“In more bodily terms, one can think of an inverse model as producing the muscle activations required to achieve a desired posture, subject to the physics of the body. This framework is useful for motor neuroscience, as coordinating movement involves learning how to account for the physical properties of one’s body through experience interacting with the world,” Aldarondo added in the email.
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