Introduction
Several basic mechanisms of chaotic dynamics in phenomenological and biologically plausible models of individual neurons are discussed. We show that chaos occurs at the transition boundaries between generic activity types in neurons such as tonic spiking, bursting, and quiescence, where the system can also become bi-stable. The bifurcations underlying these transitions give rise to period-doubling cascades, various homoclinic and saddle phenomena, torus breakdown, and chaotic mixed-mode oscillations in such neuronal systems.
Neurons exhibit various activity regimes and state transitions that reflect their intrinsic ionic channel behaviors and modulatory states. The fundamental types of neuronal activity can be broadly defined as quiescence, subthreshold, and tonic spiking oscillations, as well as bursting composed of alternating periods of spiking activity and quiescence. A single neuron can endogenously demonstrate various bursting patterns, varying in response to the...
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Acknowledgments
This work was funded in part by the NSF grant IOS-1455527 and the RSF grant 14-41-00044 at Lobachevsky University of Nizhny Novgorod. We thank the Brains and Behavior initiative of Georgia State University for providing pilot grant support and the doctoral fellowships of K. Pusuluri and H. Ju. We acknowledge the support of NVIDIA Corporation with the Tesla K40 GPUs used in this study. Finally, we are grateful to all the current and past members of the Shilnikov NeurDS lab for productive discussions.
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Appendix
Appendix
Leech Heart Interneuron Model
The reduced leech heart model is derived using the Hodgkin-Huxley formalism:
with
and where V is the membrane potential, C = 0.5; hNa is a fast (Ï„Na = 0.0405 sec) activation of INa, and mK2; IL describes the slow (Ï„K2 = 0.25 sec) activation of IK2, Iapp is an applied current. The steady states \( {h}_{\mathrm{Na}}^{\infty }(V) \), \( {m}_{\mathrm{Na}}^{\infty }(V) \), \( {m}_{\mathrm{K}2}^{\infty }(V) \), of the of the gating variables are given by the Boltzmann equations given by
The bifurcation parameter \( {\mathrm{V}}_{\mathrm{K}2}^{\mathrm{shift}} \) of the model is a deviation from the experimentally determined voltage V1/2 = 0.018 V corresponding to the half-activated potassium channel, i.e., to \( {m}_{\mathrm{k}2}^{\infty }(0.018)=1/2 \). In its range, \( {\mathrm{V}}_{\mathrm{K}2}^{\mathrm{shift}} \) is [−0.025; 0.0018]V the upper boundary corresponds to the hyperpolarized quiescent state of the neuron, whereas the model produces spiking oscillations at the lower end \( {\mathrm{V}}_{\mathrm{K}2}^{\mathrm{shift}} \) values and bursts in between.
Chay Model
The 3D Hodgkin-Huxley type Chay model reads as follows:
where n represents the gating variable of the voltage-sensitive K+ channel and C represents the intracellular free calcium concentration. See (Chay 1985) for the detailed description.
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Pusuluri, K., Ju, H., Shilnikov, A. (2020). Chaotic Dynamics in Neural Systems. In: Meyers, R. (eds) Encyclopedia of Complexity and Systems Science. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27737-5_738-1
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