Bursting dynamics and network structural changes towards and away from a Pavlovian-conditioned neural network
Fig 5
Heuristic explanation of the formation and deformation of the feed-forward network.
(A) A toy model raster plot illustrating a neural burst in a 6-neuron system, where each neuron fires once and has its own fixed spiking time [#1 (black) first and #6 (violet) last]. The neurons are assumed to be physically connected all-to-all. (B) Schematic illustration of a functionally feed-forward network of the toy model, created by assuming the classical STDP mechanism based on causality assumption. Each colored line with an arrow-head represents a functionally active efferent connection. The two numbers in each bracket represent in-degree and out-degree, respectively. (C) Plot depicting the (in-degree, out-degree) pairs of the feed-forward network shown in (B). (D) Schematic diagram of the feed-forward network from (B), with the addition of two extra recurrent connections (thick red and orange arrows). (E) Scatter plot displaying the (in-degree, out-degree) pairs of the modified feed-forward network depicted in (D).