Can we read the synaptic 'rules' of plasticity?

Hebbian learning, spike-timing-dependent plasticity, and homeostatic regulation each describe parts of how synapses change with experience. But the full set of rules that allow biological circuits to learn complex tasks is unknown.

Connecting cellular plasticity to behavioural learning — and matching biological learning to gradient descent in deep networks — is a central neuroscience question.