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

Figure 8

The dynamic properties of learning under moderate synchronous state. (a, b) Effect of firing rate and synchrony on synaptic weight evolution under plasticity with spike manipulation. (a) The effect of spike time randomization. (b) The effect of empty bin inserting. (c) Raster plot. Neuron number is sorted in an increasing order of inhibitory input connections. Red curve is the mean excitatory synaptic strength of high firing neurons, which increases during synchronous windows and decreases during asynchronous windows. Green curve is the mean excitatory synaptic strength of low firing neurons. (d) The synaptic weight evolution. (e) Sum of incoming excitatory and inhibitory synaptic weight of neurons in the plastic circuit after learning, sorted according to the ascending of inhibitory sum. (f) The evolution of gamma oscillation and synaptic weight in moderately synchronous states.

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