ArticleFrontiers in computational neuroscience2014
Energy distribution property and energy coding of a structural neural network.
Article in Frontiers in computational neuroscience, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed.
- Dynamics and energy encoding of a star-like neuron network composed of the Wang-Zhang model induced by compressing a sphere into a fingertip.Cognitive neurodynamics · 2026Article
- Investigation on the regular and chaotic dynamics of a ring network of five inertial Hopfield neural network: theoretical, analog and microcontroller simulation.Cognitive neurodynamics · 2024Article
- The characteristics of brain network in patient with post-stroke depression under cognitive task condition.Frontiers in neuroscience · 2023Article
- Complex Dynamics of Noise-Perturbed Excitatory-Inhibitory Neural Networks With Intra-Correlative and Inter-Independent Connections.Frontiers in physiology · 2022Article
- Closing the loop of DBS using the beta oscillations in cortex.Cognitive neurodynamics · 2021Article
- Brain functional network modeling and analysis based on fMRI: a systematic review.Cognitive neurodynamics · 2021Review
- Energy dependence on discharge mode of Izhikevich neuron driven by external stimulus under electromagnetic induction.Cognitive neurodynamics · 2021Article
- Energy features in spontaneous up and down oscillations.Cognitive neurodynamics · 2021Article
- The Relationship between Sparseness and Energy Consumption of Neural Networks.Neural plasticity · 2020Article
- Spontaneous electromagnetic induction promotes the formation of economical neuronal network structure via self-organization process.Scientific reports · 2019Article
- Energy expenditure computation of a single bursting neuron.Cognitive neurodynamics · 2019Article
- Principles of Mutual Information Maximization and Energy Minimization Affect the Activation Patterns of Large Scale Networks in the Brain.Frontiers in computational neuroscience · 2019Article
- The Energy Coding of a Structural Neural Network Based on the Hodgkin-Huxley Model.Frontiers in neuroscience · 2018Article
- Optimal path-finding through mental exploration based on neural energy field gradients.Cognitive neurodynamics · 2017Article
- Article
- Can the activities of the large scale cortical network be expressed by neural energy? A brief review.Cognitive neurodynamics · 2016Review
- Energy coding in neural network with inhibitory neurons.Cognitive neurodynamics · 2015Article
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2 authors.
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Abstract
Studying neural coding through neural energy is a novel view. In this paper, based on previously proposed single neuron model, the correlation between the energy consumption and the parameters of the cortex networks (amount of neurons, coupling strength, and transform delay) under an oscillational condition were researched. We found that energy distribution varies orderly as these parameters change, and it is closely related to the synchronous oscillation of the neural network. Besides, we compared this method with traditional method of relative coefficient, which shows energy method works equal to or better than the traditional one. It is novel that the synchronous activity and neural network parameters could be researched by assessing energy distribution and consumption. Therefore, the conclusion of this paper will refine the framework of neural coding theory and contribute to our understanding of the coding mechanism of the cerebral cortex. It provides a strong theoretical foundation of a novel neural coding theory-energy coding.
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