Fig 5. Example of how eligibility traces allow the G-DHL rule to capture temporal interactions between events separated by a time gap.

Left: Two neural signals exhibiting an event each, and the related traces. The trace signals m_i,t at time step t were numerically computed by applying a leaky accumulator process to the initial signals u_i,t as follows: m_i,t = m_i,t−1 + (Δt/τ) ⋅ (−m_i,t−1 + u_i,t−1), with Δt = 0.001 and τ = 1. Right: the connection weight resulting from the application of the G-DHL rule component $\left[u_1\right]{\left[{\dot{u}}_2\right]}^{+}$ to the initial signals or to their memory traces.