2020
GAIT-prop: A biologically plausible learning rule derived from backpropagation of error
NeurIPS 2020spotlight
Traditional backpropagation of error, though a highly successful algorithm for learning in artificial neural network models, includes features which are biologically implausible for learning in real neural circuits. An alternative called target propagation proposes to solve this implausibility by us…