Stability of the persistent activity state

The stability of the persistent state in a single population network is easily read out from a graph such as the one of Figure 15.5. In networks with several populations,

Figure 15.6

Behavior of an object working memory network. (A). Schematic representation of the network. Circles represent the different sub-populations. Labels on the arrows indicate the type of synaptic connection between them. The width of the arrows qualitatively represents the strength of the corresponding synaptic connections. (B). Bifurcation diagram showing the onset of bistability as a function of the strength of the connections within a selective sub-population relative to a baseline. Lines are the prediction from the mean-field version of the model, with solid (dashed) lines representing stable (unstable) steady states. Squares (spontaneous activity) and circles (elevated persistent activity state) are results from simulations of the spiking network (continued).

Figure 15.6

Behavior of an object working memory network. (A). Schematic representation of the network. Circles represent the different sub-populations. Labels on the arrows indicate the type of synaptic connection between them. The width of the arrows qualitatively represents the strength of the corresponding synaptic connections. (B). Bifurcation diagram showing the onset of bistability as a function of the strength of the connections within a selective sub-population relative to a baseline. Lines are the prediction from the mean-field version of the model, with solid (dashed) lines representing stable (unstable) steady states. Squares (spontaneous activity) and circles (elevated persistent activity state) are results from simulations of the spiking network (continued).

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