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This article is part of the supplement: Eighteenth Annual Computational Neuroscience Meeting: CNS*2009

Open Access Poster presentation

Geometry and dynamics of activity-dependent homeostatic regulation in neurons

Astrid A Prinz1* and Andrey V Olypher12

Author Affiliations

1 Biology Department, Emory University, Atlanta, GA 30033, USA

2 Department of Physiology and Pharmacology, SUNY, Downstate Medical Center, Brooklyn, NY 11203, USA

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BMC Neuroscience 2009, 10(Suppl 1):P203  doi:10.1186/1471-2202-10-S1-P203

The electronic version of this article is the complete one and can be found online at: http://www.biomedcentral.com/1471-2202/10/S1/P203


Published:13 July 2009

© 2009 Prinz and Olypher; licensee BioMed Central Ltd.

Introduction

Activity-dependent homeostatic regulation (ADHR) maintains robust neuronal functioning in the face of intra- and extracellular perturbations. Such regulation is critical for normal processing of the nervous system, avoiding pathological states such as seizures, and recovering from injuries, for example caused by a stroke. There is also strong evidence that ADHR, in particular in the hippocampus and neocortex, plays an important role in information processing. The mechanisms of ADHR are complex and mostly unknown. Known models of ADHR mimic experimental data but limitations of these models are poorly understood. To understand ADHR better, we set and solve a prototypical homeostatic regulation problem for a classical Morris-Lecar (ML) model. The solution provides important insights on the geometry and dynamics of ADHR in a generic case. In particular, we clarify existing models of ADHR and formulate specific questions for future experimental and theoretical studies of ADHR.

Results

For the ML model, a target for ADHR was set to be an oscillatory regime with a specific average value of the calcium current <ICa> = <ICa>*. Conductances of the calcium and potassium currents, gCa and gK, were regulated according to the equations dgCa/dt = -αCa(ICa - <ICa>*), dgK/dt = αK (ICa - <ICa>*) with positive parameters αCa and αK. Fig. 1 shows the properties of the regulation and solution to the problem for <ICa >* = -0.25 and αCa = αK = 0.005: the target of the regulation is achieved for all perturbations above the dashed line with the slope-1 (Figure 1A).

thumbnailFigure 1. Activity-dependent homeostatic regulation in the ML model. Regulated conductances gCa and gK are constrained to a line with the slope -αKCa. (A) (gCa(t), gK (t)) for different initial values ofgCa and gK (triangle, square and circle), and values of αCa and αK during regulation. <ICa> is color coded. When αK = αCa the regulation returns the system to an oscillatory regime with the target value <ICa>* = -0.25 for all initial values of gCa and gK above the dashed line. (B) αK = αCa = 0.005. (Inset) membrane potential near the transition to oscillations through a supercritical Andronov-Hopf bifurcation. (C) αCa = 0.005, αK = 0.01. (Inset) membrane potential near the transition to oscillations through a subcritical Andronov-Hopf bifurcation. (D) αK = αCa = 0.005. The regulation does not restore oscillations though the target <ICa>* = -0.25 is achieved.

Our analysis shows how generic properties of ADHR transform into constraints on the geometry and dynamics of the regulation. Regulated parameters typically belong to a linear manifold of a low dimension in the parameter space of the model, e.g. a line (Figure 1A). Dynamics of the regulation involve transitions between dynamic states of the regulated system. Possible bifurcations underlying these transitions depend on the geometry of the manifold: its dimension and location. Conversely, the information on bifurcations, which is potentially assessable from experiments, constrains the geometry of the manifold that contains the regulated parameters. Finally, we show how the problem of ADHR fits the control theory framework. We establish a modular structure of ADHR and show that the calcium current can play the role of an integral feedback in the sense of control theory.

Acknowledgements

NIH RO1 NS054911-01A1 from NINDS.