Figure 4.

Increasing network gamma frequency band power leads to mean transfer entropy increase and time for information transfer decrease. (A) Schematic representation of the network. The network consists of two parts. In each part, there are excitatory (S, NS) and inhibitory (I) spiking neuron pools, which are interconnected. The connectivity is full. The selective pool (S) receives the external input (ν_in) and has strong recurrent connections. The two parts of the network are connected via the selective pools by both feedforward and feedback connections. All neurons get also an input (ν_ext) that simulates the spontaneous activity in the surrounding cerebral cortex. (B) When the modification ratio g_AMPA/g_NMDA increases, both gamma power (dashed line) and TE (solid line) increase. (C) Rise times of TE as a function of the modification ratio. Information starts flowing after stimulus onset when, consequently, TE starts rising. The plot shows the time required to reach 50% of the average TE. TE clearly rises faster for higher gamma band power. In both graphics, error bars indicate 95% confidence intervals; averaged over 100 trials. Figure adapted from Buehlmann and Deco (2010).