Topic: help minimization

The success of deep learning sparked interest in whether the brain similarly learns its hierarchical representations. However, current biologically-plausible models for hierarchical credit assignment (HCA) --i.e., determining how to adjust synapses across hierarchies-- assume that the effect of feedback on forward processing is negligible. This weak feedback assumption is problematic in biologically realistic noisy environments and is at odds with experimental evidence showing that the effect of feedback on neural activities can be strong. To overcome this limitation, we revisit the recent Dee