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Modeling the thalamocortical loop.

Authors: L A, de Carvalho;

Modeling the thalamocortical loop.

Abstract

This work proposes a mathematical model for the thalamic gateway to the cortex. In this model, the ionic currents considered and the structural details are in accordance with the biomedical experimental data. To validate the model, three series of simulations were performed in different levels of complexity. First, some experiments show that the model captures the electrophysiological properties of a single thalamic cell, that is, the relay and burst modes of operation. Second, a complete neural network representing the thalamic gateway to the cortex is assembled and the influences of the cortical projections over the thalamus are analysed. Some interesting results about how the cortex opens and closes the thalamic gate, and the relation of this control policy with the phenomenon of attention, are shown. Finally, a third set of simulations establishes some mechanisms of interaction between neighboring thalamic regions, especially a form of somatosensory competition. The paper also hints at possible theoretical explanations for clinical facts like counterirritation, acupuncture analgesia and variations in the sensibility of somatosensory perception. The model seems to be an interesting and new way of understanding the thalamocortical interactions.

Related Organizations
Keywords

Cerebral Cortex, Neurons, Pain Threshold, Afferent Pathways, Potassium Channels, Models, Neurological, Neural Conduction, Action Potentials, Pain, Neural Inhibition, Sodium Channels, Feedback, Membrane Potentials, Receptors, GABA, Humans, Computer Simulation, Calcium Channels, Neurons, Afferent, Ion Channel Gating, Algorithms

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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
9
Average
Top 10%
Average
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