Interesting, it's adding some complexity to each neuron in the network, which correlates to observations in neuroscience. Looks like they also used backprop for

Interesting, it's adding some complexity to each neuron in the network, which correlates to observations in neuroscience. Looks like they also used backprop for training but not sure how that is calculated at first glance (since presumably you would have to ignore the inner complexity of each neuron or something like that). Saving the link for ref. https://www.nature.com/articles/s43588-024-00674-9.epdf?sharing_token=Yum3fDRI4naZVpRxA_u9FdRgN0jAjWel9jnR3ZoTv0Pq1mNu95lhgDdNLRemgORPlbUML5QJh76FSIWzN1bZzztDfA77dZtN6Xq-bS7iRsnQrvGhki_W2CIGt3ITs02cYwy6dLW8QR3_Jo2Hk-d4IAOQONHT9oriAWAk0NW-qE-vntO_e8kGkAdZhrvcGJuoLu5ouOLTgxDYaxRJs3LZPcw9m1xnXPrKpmV5L-K0Hag%3D&tracking_referrer=www.livescience.com https://www.nature.com/articles/s43588-024-00674-9.epdf?shar...