ePoster · Computational Neuroscience
Inhibition-controlled Hebbian learning unifies phenomenological and normative models of plasticity
Julian Rossbroich, Friedemann Zenke · Bernstein Conference 2024
Learning in neuronal circuits requires coordinated modifications of synaptic strengths across hierarchical networks to refine computation and improve behavioral outcomes. This coordination requires solving the credit assignment problem. Yet, how neuronal circuits achieve credit assignment remains a central unsolved question in systems neuroscience [1]. Several modeling studies have suggested putative biological mechanisms for back-propagating error signals through multi-layer networks. These functionally motivated models assume distinct neuronal compartments representing local error signals t