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This article is part of the supplement: Twenty First Annual Computational Neuroscience Meeting: CNS*2012

Open Access Poster presentation

Impulse dynamics of coupled synchronous neurons

Epaminondas Rosa* and Samuel Krueger

Author Affiliations

Department of Physics, Illinois State University, Normal, IL 61790, USA

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BMC Neuroscience 2012, 13(Suppl 1):P102  doi:10.1186/1471-2202-13-S1-P102


The electronic version of this article is the complete one and can be found online at: http://www.biomedcentral.com/1471-2202/13/S1/P102


Published:16 July 2012

© 2012 Rosa and Krueger; licensee BioMed Central Ltd.

This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Poster presentation

Synchronization of neurons remains a topic of great interest due in part to practical implications of relevance to desirable as well as to undesirable states. Neural synchrony can be related, for instance, to healthy activity as in the case of the various stages of sleep [1], but can also be related to pathological processes as in the case of Parkinson’s disease [2]. Even though the enormous scientific and technological advances we have been witnessing over the past years helping us understand better the mechanisms behind neurological activities, there is still much to learn, in a context where mathematical models are potentially capable of making important contributions.

This presentation comprises two parts. Part 1 describes a set of neuron model equations based on the Huber-Braun (HB) work which was originally intended for studying temperature sensitive neurons [3]. However, the HB equations have been proven to be applicable to a wide range of situations, including studies aimed at clarifying the mechanisms controlling the different neural firing regimes and transitions between them [4] as illustrated in Fig. 1, as well as neuropsychiatric disorders [5], to name a few. Part 2 details how these neurons can get in synchrony and shows patterns of synchronous behaviors associated with a variety of coupling values and with the firing regimes the neurons were at before being coupled. The argument will be made regarding neuropathologies such as deep depression, for example, in relation of pharmacological treatments capable of altering neuronal firing rates, therefore affecting their synchronization capability.

thumbnailFigure. 1. Conductivity gsrvs. synaptic current Isr color map with the corresponding firing patterns on the right-hand side.

References

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  2. Park C, Worth RM, Rubchinsky LL: Fine temporal structure of beta oscillations synchronization in subthalamic nucleus in Parkinson’s disease.

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