General differential Hebbian learning: Capturing temporal relations between events in neural networks and the brain
Fig 9
G-DHL components, and related factors, for the Bi and Poo’s learning kernel.
(a) Components found by the G-DHL regression of the Bi and Poo’s data set [25]. (b) Temporal profile of the factors of the components shown in ‘a’, plotted for the Δt that causes the maximum synaptic change.