2020
Characterizing emergent representations in a space of candidate learning rules for deep networks
NeurIPS 2020poster
How are sensory representations learned via experience? Deep learning offers a theoretical toolkit for studying how neural codes emerge under different learning rules. Studies suggesting that representations in deep networks resemble those in biological brains have mostly relied on one specific lear…