Gamma Oscillations Facilitate Effective Learning in Excitatory-Inhibitory Balanced Neural Circuits

Figure 4

Properties of circuits with plasticity. (a, b) Synaptic weight evolution. Blue curves are results from networks with plasticity, whereas orange curves are from virtual networks in Figure 3. (c, d) The evolution of gamma oscillation and synaptic weight in different dynamical state. (e, f) The ability of working memory maintenance after recalling in the network after learning. Extra stimuli () are applied to the neuron group with memory encoded for 2 s (from 1 s to 3 s). The persistent firing ability of the group after extra stimuli removal is checked. The insets compare the firing rate of the memory-coding group and the firing rate of other neurons during the persistent period. (a, c, e) Synchronous state. (b, d, f) Asynchronous state. . The other parameters are set as

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