Theory of trained RNNs that interpolates between the classic chaotic solution and a strongly task-adapted solution. Perhaps the best description of motor cortex is in-between. Great collaboration with @david-g-clark.bsky.social, @jzv.bsky.social with supervision by the great @cpehlevan.bsky.social!
Blake Bordelon
I am totally pumped about this new work . "Task-trained RNNs" are a powerful and influential framework in neuroscience, but have lacked a firm theoretical footing. This work provides one, and makes direct contact with the classical theory of random RNNs:
www.biorxiv.org/content/10.6...
