Energy efficiency of information transmission by electrically coupled neurons

Torrealdea, Francisco; Sarasola, C.; D’Anjou, Alicia; Moujahid, Abdelmalik; Mendizábal, Nieves Vélez de

doi:10.1016/j.biosystems.2009.04.004

Cited by 45 publications

(22 citation statements)

References 56 publications

(90 reference statements)

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“…It could be represented by the stimulus current in the model. Research has shown that some production of energy at the synaptic site is necessary for the neuron to keep its signaling [32]. There is biological evidence that links the generation of metabolic energy to the inflow of glucose through the membrane to produce ATP.…”

Section: Discussionmentioning

confidence: 99%

Neural Energy Supply-Consumption Properties Based on Hodgkin-Huxley Model

Wang

2017

Neural Plasticity

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Electrical activity is the foundation of the neural system. Coding theories that describe neural electrical activity by the roles of action potential timing or frequency have been thoroughly studied. However, an alternative method to study coding questions is the energy method, which is more global and economical. In this study, we clearly defined and calculated neural energy supply and consumption based on the Hodgkin-Huxley model, during firing action potentials and subthreshold activities using ion-counting and power-integral model. Furthermore, we analyzed energy properties of each ion channel and found that, under the two circumstances, power synchronization of ion channels and energy utilization ratio have significant differences. This is particularly true of the energy utilization ratio, which can rise to above 100% during subthreshold activity, revealing an overdraft property of energy use. These findings demonstrate the distinct status of the energy properties during neuronal firings and subthreshold activities. Meanwhile, after introducing a synapse energy model, this research can be generalized to energy calculation of a neural network. This is potentially important for understanding the relationship between dynamical network activities and cognitive behaviors.

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Section: Discussionmentioning

confidence: 99%

Neural Energy Supply-Consumption Properties Based on Hodgkin-Huxley Model

Wang

2017

Neural Plasticity

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“…As a statistical explanation for the propagating wave of the neuronal collective electric activities, we introduced a synchronization factor [30][31][32], discussed in Eq. (17)- (19), where R = 1 means that v i j are in a perfect synchronization state and R = 0 denotes a complete de-synchronization state.…”

Section: Collective Electric Activities Of Neuronal Networkmentioning

confidence: 99%

“…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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“…(1). The procedure followed to find this energy has been reported in detail in [7]. This energy function H(x) is given by…”

Section: The Hindmarsh-rose Neuron Energymentioning

confidence: 99%

Efficient synchronization of structurally adaptive coupled Hindmarsh–Rose neurons

Moujahid¹,

D’Anjou²,

Torrealdea³

2011

Chaos, Solitons & Fractals

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The use of spikes to carry information between brain areas implies complete or partial synchronization of the neurons involved. The degree of synchronization reached by two coupled systems and the energy cost of maintaining their synchronized behaviour is highly dependent on the nature of the systems. For non-identical systems the maintenance of a synchronized regime is energetically a costly process. In this work, we study conditions under which two non-identical electrically coupled neurons can reach an efficient regime of synchronization at low energy cost. We show that the energy consumption required to keep the synchronized regime can be spontaneously reduced if the receiving neuron has adaptive mechanisms able to bring its biological parameters closer in value to the corresponding ones in the sending neuron.

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Energy efficiency of information transmission by electrically coupled neurons

Cited by 45 publications

References 56 publications

Neural Energy Supply-Consumption Properties Based on Hodgkin-Huxley Model

Neural Energy Supply-Consumption Properties Based on Hodgkin-Huxley Model

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

Efficient synchronization of structurally adaptive coupled Hindmarsh–Rose neurons

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