Topic: Dalean constraints

The error-backpropagation (backprop) algorithm remains the most common solution to the credit assignment problem in artificial neural networks. In neuroscience, it remains unclear whether the brain could be adopting a similar strategy to modify its synapses. Recent models have attempted to bridge this gap while being consistent with a range of experimental observations. However, these models are either ineffective at propagating error signals through several brain areas or require a multi-phase learning process, neither of which are reminiscent of learning in the brain. Here, we build upon pri