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We analyze the dynamics of the FitzHugh-Nagumo (FHN) model
in the presence of colored noise and a periodic signal. Two cases
are considered: (i) the dynamics of the membrane potential is
affected by the noise, (ii) the slow dynamics of the recovery
variable is subject to noise. We investigate the role of the colored
noise on the neuron dynamics by the mean response time (MRT) of the
neuron. We find meaningful modifications of the resonant activation
(RA) and noise enhanced stability (NES) phenomena due to the
correlation time of the noise. For strongly correlated noise we
observe suppression of NES effect and persistence of RA phenomenon,
with an efficiency enhancement of the neuronal response. Finally we
show that the self-correlation of the colored noise causes a
reduction of the effective noise intensity, which appears as a
rescaling of the fluctuations affecting the FHN system
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