Article ; Online: Firing statistics in the bistable regime of neurons with homoclinic spike generation.
2021 Volume 103, Issue 1-1, Page(s) 12407
Abstract: Neuronal voltage dynamics of regularly firing neurons typically has one stable attractor: either a fixed point (like in the subthreshold regime) or a limit cycle that defines the tonic firing of action potentials (in the suprathreshold regime). In two of ...
| Abstract | Neuronal voltage dynamics of regularly firing neurons typically has one stable attractor: either a fixed point (like in the subthreshold regime) or a limit cycle that defines the tonic firing of action potentials (in the suprathreshold regime). In two of the three spike onset bifurcation sequences that are known to give rise to all-or-none type action potentials, however, the resting-state fixed point and limit cycle spiking can coexist in an intermediate regime, resulting in bistable dynamics. Here, noise can induce switches between the attractors, i.e., between rest and spiking, and thus increase the variability of the spike train compared to neurons with only one stable attractor. Qualitative features of the resulting spike statistics depend on the spike onset bifurcations. This paper focuses on the creation of the spiking limit cycle via the saddle-homoclinic orbit (HOM) bifurcation and derives interspike interval (ISI) densities for a conductance-based neuron model in the bistable regime. The ISI densities of bistable homoclinic neurons are found to be unimodal yet distinct from the inverse Gaussian distribution associated with the saddle-node-on-invariant-cycle bifurcation. It is demonstrated that for the HOM bifurcation the transition between rest and spiking is mainly determined along the downstroke of the action potential-a dynamical feature that is not captured by the commonly used reset neuron models. The deduced spike statistics can help to identify HOM dynamics in experimental data. |
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| MeSH term(s) | Action Potentials ; Models, Neurological ; Neurons/cytology ; Nonlinear Dynamics |
| Language | English |
| Publishing date | 2021-02-04 |
| Publishing country | United States |
| Document type | Journal Article |
| ZDB-ID | 2844562-4 |
| ISSN | 2470-0053 ; 2470-0045 |
| ISSN (online) | 2470-0053 |
| ISSN | 2470-0045 |
| DOI | 10.1103/PhysRevE.103.012407 |
| Database | MEDical Literature Analysis and Retrieval System OnLINE |
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