Noise induces continuous and non-continuous transitions in neuronal interspike interval range
Noise appears in the brain due to various sources, such as ionic channel fluctuations and synaptic events. They affect the activities of the brain and influence neuron action potentials. Stochastic differential equations havebeen used to model firing patterns of neurons subject to noise. In this work, we consider perturbing noise in the adaptive exponential integrate-and-fire (AEIF) neuron. The AEIF is a two-dimensional model that describes different neuronal firing patterns by varying its parameters. Noise is added in the equation related to the membrane potential.We show that a noise current can induce continuous and non-continuous transitions in neuronal interspike intervals. Moreover, we show that the non-continuous transition occurs mainly for parameters close to the border between tonic spiking and burst activities of the neuron without noise.