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Metabolic Energy of Action Potentials Modulated by Spike Frequency Adaptation

Overview of attention for article published in Frontiers in Neuroscience, November 2016
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Title
Metabolic Energy of Action Potentials Modulated by Spike Frequency Adaptation
Published in
Frontiers in Neuroscience, November 2016
DOI 10.3389/fnins.2016.00534
Pubmed ID
Authors

Guo-Sheng Yi, Jiang Wang, Hui-Yan Li, Xi-Le Wei, Bin Deng

Abstract

Spike frequency adaptation (SFA) exists in many types of neurons, which has been demonstrated to improve their abilities to process incoming information by synapses. The major carrier used by a neuron to convey synaptic signals is the sequences of action potentials (APs), which have to consume substantial metabolic energies to initiate and propagate. Here we use conductance-based models to investigate how SFA modulates the AP-related energy of neurons. The SFA is attributed to either calcium-activated K(+) (IAHP) or voltage-activated K(+) (IM) current. We observe that the activation of IAHP or IM increases the Na(+) load used for depolarizing membrane, while produces few effects on the falling phase of AP. Then, the metabolic energy involved in Na(+) current significantly increases from one AP to the next, while for K(+) current it is less affected. As a consequence, the total energy cost by each AP gets larger as firing rate decays down. It is also shown that the minimum Na(+) charge needed for the depolarization of each AP is unaffected during the course of SFA. This indicates that the activation of either adaptation current makes APs become less efficient to use Na(+) influx for their depolarization. Further, our simulations demonstrate that the different biophysical properties of IM and IAHP result in distinct modulations of metabolic energy usage for APs. These investigations provide a fundamental link between adaptation currents and neuronal energetics, which could facilitate to interpret how SFA participates in neuronal information processing.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 31 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 8 26%
Student > Ph. D. Student 7 23%
Researcher 4 13%
Student > Master 3 10%
Professor 2 6%
Other 4 13%
Unknown 3 10%
Readers by discipline Count As %
Neuroscience 15 48%
Agricultural and Biological Sciences 3 10%
Psychology 2 6%
Engineering 2 6%
Physics and Astronomy 2 6%
Other 3 10%
Unknown 4 13%