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Linear response for spiking neuronal networks with unbounded memory

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Academic year: 2021

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Figure

Figure 1. A time-dependent stimulus (A) is applied at time t 0 to some neurons of a spiking neuronal network (B)
Figure 2. Connectivity pattern of the model. Neurons (black filled circles) are located into a one- one-dimensional lattice with spacing d x
Figure 4. Linear response of f ( ω, n ) = ω k c ( n ) for different values of stimulus amplitude A
Figure 5. Correlation functions corresponding to the firing rate of the neuron k c = N 2 as a function of the neuron index k (abscissa), for different values of the time delay m
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