A Reinforcement Learning Framework for Spiking Networks with Dynamic Synapses
Figure 4
Evolution of the trained parameters: in (a), in (b), and in (c) over time. In all subfigures, samples from an excitatory synapse (Exc.) and from an inhibitory (Inh.) one are given. For both types, the starting values are identical.