Learning poly-synaptic paths with traveling waves
Fig 5
The whole system of our model.
Excitatory neurons are locally connected via synapses. Inhibitory feedback signal controls the firing rate of excitatory neurons, global dopaminergic signal modulates the synaptic weights, and wavefield created by the activities of other neurons controls the activity level of each excitatory neuron. External input and reward functions are externally provided. The + = operator means that the right-hand-side is added to the left-hand-side when an event happens (with delay for Dp). We use the same parameters (except three parameters summarized in Table 1) to learn three qualitatively different tasks in different network architectures, which underscores the robustness of the learning rule and the role of traveling waves.