Bursting dynamics and network structural changes towards and away from a Pavlovian-conditioned neural network
Fig 4
Spreading spiking activity within a superlative burst rendered shown in the space of ∑Wout vs. ∑Win (A) and average spiking times of 1,600 excitatory neurons vs. their ∑Win in (B).
The figure in (A) showcases the propagation of spiking activity within an evoked burst, which is linked to a rewarded stimulation. The colored points represent neurons firing at specific labeled times. Notably, the spiking activity exhibits a clear propagation pattern towards the lower right-hand corner of the plot. The superlative burst corresponding to this propagation is indicated by a green arrow in Fig 2A (3rd row). The figure shown in (B) presents the average spiking times of all 1,600 excitatory neurons across 92 induced population burst events facilitated by a fully Pavlovian conditioned network. These times are then plotted as a function of corresponding neurons’ ∑Win. The larger points (located in the lower left-hand corner) correspond to neurons that receive direct electrical stimulation. Notably, there exists a small (∼1 ms) time delay between the source (large points) and the remaining neurons (small points).