Artificial neural network reproduces gait patterns of four-legged animals

Imagine a horse stumbling on a rock. It regains momentum, then hits bumpier terrain and slows to a walk. Back on steady ground, the horse picks up its pace to catch up with the herd. How is the horse able to transition between these different gaits? Researchers at Brown University’s Carney Institute for Brain Science have developed an artificial neural network that shows how a four-legged creature may generate multiple distinct patterns in gait. Their research provides new insights into how the brain may process complex behaviors.

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