Learning in neural networks is often framed as a problem in which targeted error signals are
directly propagated to parameters and used to produce updates that induce more optimal …

Exploring biologically plausible algorithms as alternatives to error backpropagation (BP) is a
challenging research topic in artificial intelligence. It also provides insights into the brain's …