Bursting dynamics and network structural changes towards and away from a Pavlovian-conditioned neural network
Fig 8
Loss of memory following Pavlovian conditioning: D0 = 0.0026 μM case.
(A) Raster plots and corresponding SDF profiles: during the final stage of conditioning (highlighted in the shaded first row) and the subsequent periods after conditioning completion (second to fourth rows). The green shaded area in the fourth row of (A) is magnified in S5 Fig to reveal the multi-hump nature (i.e., superburst) of the self-organized bursts. Note that the SDF profile (blue line) graph shown in the first row has a scale different from those (black lines) of other rows. (B) Scatter plots depicting the relationship between ∑Win and ∑Wout for all 1,600 excitatory neurons. They are evaluated at the ending time of the corresponding raster plots on their left. The three distinct point colors indicate different clusters of excitatory neurons, categorized based on their dynamic characteristics (see S3 Fig). Note that the Pavlovian conditioned, feed-forward network quickly disintegrates into a random network. [See S2 Video for the whole process being discussed].