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7 February 2007Noise-induced firing patterns in generalized neuron model with subthreshold oscillations
Subthreshold oscillations can be found in different neural systems. Some mathematical models of bursting
neurons also manifest slow oscillations that are more or less independent from fast spiking process and becomes
subthreshold when spiking subsystem is set in excitable regime. Because neural activity is known to be heavily
influenced by a variety of noisy processes, it is important to understand how the subthreshold oscillations can
change the response of neural system on noisy stimulus.
It is typically assumed that generation of spike does not affect slow subsystem. However, such one-way
connection between slow and fast subsystems is not the case for many neural models where fast and slow ionic
currents share the same equation for transmembrane potential (for example, well known Huber-Braun model).
Definitely, the generation of fast action potential can affect the slow ionic currents. Thus, being excited by
noise, such neural system could show different firing patterns depending on how slow subsystem is affected by
the fast one. To address this problem we propose the generalized model consisting of two FitzHugh-Nagumo
systems that are set in different operating regimes and thus play the role of fast excitable and slow self-sustained
subsystems. With this model, we study how the noise-induced firing patterns depend on different variants of
fast-to-slow coupling between subsystems. The corresponding changes in ISI distribution as well as underlying
nonlinear mechanisms are discussed.
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L. Ryazanova, Y. Trenikhina, R. Zhirin, D. Postnov, "Noise-induced firing patterns in generalized neuron model with subthreshold oscillations," Proc. SPIE 6436, Complex Dynamics and Fluctuations in Biomedical Photonics IV, 64360W (7 February 2007); https://doi.org/10.1117/12.714241