Energy and information in Hodgkin-Huxley neurons

Moujahid, Abdelmalik; D’Anjou, Alicia; Torrealdea, Francisco

doi:10.1103/physreve.83.031912

Cited by 93 publications

(105 citation statements)

References 35 publications

(52 reference statements)

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“…In this paper, we focused on accomplishing the translation between the absorbed power of electromagnetic radiation and the polarizing current in neuronal soma with a mathematical method based on the neuronal Hodgkin-Huxley electrical circuit [25][26][27][28] and the differential model of energy cost of this electrical circuit [29][30][31][32]. We simulated the process of neuron absorbing power from electromagnetic radiation, and an additional current, translated from this absorbed power, was applied to the Hodgkin-Huxley model.…”

Section: Introductionmentioning

confidence: 99%

Suppression of firing activities in neuron and neurons of network induced by electromagnetic radiation

Liu

et al. 2015

Nonlinear Dyn

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The electric activities of neurons serve as a foundation for normal brain functions. Electromagnetic radiation has a significant impact on neuronal activity in the brain, especially when cell phone is used extensively. To understand this mechanism, we developed a mathematical model aiming at describing the effect of electromagnetic radiation on neuronal firing activity by introducing an additional membrane current into the Hodgkin-Huxley neuron model. The results show that the neuronal firing activity of a single neuron can be suppressed by electromagnetic radiation. Besides, the spatiotemporal patterns of neuronal network are also suppressed from the stable propagating wave state to a homogeneous resting state. Our studies suggest that the electromagnetic radiation has a suppressive effect on neuronal firing activities, especially on the collective electric activities of neuronal network that is related to information processing.

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Section: Introductionmentioning

confidence: 99%

Suppression of firing activities in neuron and neurons of network induced by electromagnetic radiation

Liu

et al. 2015

Nonlinear Dyn

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“…They use sequences of action potentials (APs) as the principal carrier to accurately convey synaptic signals to the target cells (Koch, 1999; Kandel et al, 2012). The generation and conduction of APs arises from the flow of ions, such as Na + or K + , through their voltage-gated channels, which accounts for a large proportion of overall energy usage by neurons (Attwell and Laughlin, 2001; Alle et al, 2009; Sengupta et al, 2010; Moujahid et al, 2011, 2014; Harris et al, 2012; Kandel et al, 2012; Moujahid and d'Anjou, 2012; Bowie and Attwell, 2015). In particular, the concentration gradients of ions during an AP have to be restored against their electrochemical gradients by associated pumps, which consumes substantial energies provided by the hydrolysis of adenosine triphosphate (ATP) molecules (Sengupta et al, 2010; Moujahid et al, 2011, 2014; Harris et al, 2012; Kandel et al, 2012; Moujahid and d'Anjou, 2012).…”

Section: Introductionmentioning

confidence: 99%

“…The generation and conduction of APs arises from the flow of ions, such as Na + or K + , through their voltage-gated channels, which accounts for a large proportion of overall energy usage by neurons (Attwell and Laughlin, 2001; Alle et al, 2009; Sengupta et al, 2010; Moujahid et al, 2011, 2014; Harris et al, 2012; Kandel et al, 2012; Moujahid and d'Anjou, 2012; Bowie and Attwell, 2015). In particular, the concentration gradients of ions during an AP have to be restored against their electrochemical gradients by associated pumps, which consumes substantial energies provided by the hydrolysis of adenosine triphosphate (ATP) molecules (Sengupta et al, 2010; Moujahid et al, 2011, 2014; Harris et al, 2012; Kandel et al, 2012; Moujahid and d'Anjou, 2012). The energy cost of APs is tightly related to neural information processing and computational function (Laughlin, 2001; Sengupta et al, 2010, 2013, 2014; Harris et al, 2012; Kann et al, 2014; Bowie and Attwell, 2015).…”

Section: Introductionmentioning

confidence: 99%

Metabolic Energy of Action Potentials Modulated by Spike Frequency Adaptation

Wang

et al. 2016

Front. Neurosci.

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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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“…[13] Recently, Moujahid et al proposed a novel method to estimate the energy cost directly from the equivalent electrical circuit of the HH neuron. [17,18] Here in this paper we use a similar but more direct method to calculate the energy cost of the above HH neuron in processing signals. We consider the energy provided by or leak out to external environment.…”

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confidence: 99%

Temperature Effects on Information Capacity and Energy Efficiency of Hodgkin–Huxley Neuron

Wang

Jia

Liu

et al. 2015

Chinese Phys. Lett.

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Recent experimental and theoretical studies show that energy efficiency, which measures the amount of information processed by a neuron with per unit of energy consumption, plays an important role in the evolution of neural systems. Here, we calculated the information rates and energy efficiencies of the Hodgkin-Huxley (HH) neuron model at different temperatures in a noisy environment. We found that both the information rate and energy efficiency are maximized by certain temperatures. Though the information rate and energy efficiency cannot be maximized simultaneously, the neuron holds a high information processing capacity at the temperature corresponding to maximal energy efficiency. Our results support the idea that the energy efficiency is a selective pressure that influences the evolution of nervous systems. :87.19.ly, 87.19.ls, 87.19.lc, 87.16.Vy DOI:10.1088/0256-307X/XX/X/XXXXXX Information processing in the nervous system is metabolically expensive. Human brain is only about 2% of the total body weight, but consumes about 20% of the resting metabolic energy. [1] The large metabolic energy requirement of nervous system could constrains the size and structure of the brain, and may have largely optimized the nervous system by favouring energy efficient neural morphologies, codes, wiring patterns and brain structures. [2,3] The energy efficiency of nervous system have possibly been greatly optimized by natural selection. PACSThere are many factors that influence the energy efficiency. Of all the information processing activities, action potential (AP) makes a great contribution of total consumed energy. [1,4] AP on its own does not require energy, however, restoring the transmembrane ionic concentration gradients through the N a + /K + ion pump is an energy consuming process which relies on the energy released by adenosine triphosphate (ATP) hydrolysis. In the classic Hogkin-Huxley (HH) model, due to overlap between N a + entry and K + outflow at the same time, the flow of N a + and K + ions during AP largely exceed the minimum required by a pure capacitor, and thus waste large amounts of energy to restore the membrane potential. [5−7] Recent investigations on the nonmyelinated mossy fibers of the rat hippocampus shows that minimizing the overlap of these two ion fluxes improves the energy efficiency of AP generation. [8] Energy efficiencies of the neural systems are also constrained by their size. Recent theoretical and numerical studies suggest that in the noisy environment the energy efficiency is maximized by the number of ion channels in a single neuron, or the number of neurons in a neuronal circuits. [9,10] Temperature is an important factor that constrain the energy efficiency of neural systems. It influences the conductance, activation and inactivation of all ion channels as a global perturbation. [11] Temperature sensitivities of ion channels present a challenge to maintaining stable functions over an extended temperature range. [12] Yu et al., found that warmer body temperatures reduce the N a +...

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Energy and information in Hodgkin-Huxley neurons

Cited by 93 publications

References 35 publications

Suppression of firing activities in neuron and neurons of network induced by electromagnetic radiation

Suppression of firing activities in neuron and neurons of network induced by electromagnetic radiation

Metabolic Energy of Action Potentials Modulated by Spike Frequency Adaptation

Temperature Effects on Information Capacity and Energy Efficiency of Hodgkin–Huxley Neuron

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