ArticleFrontiers in neuroscience2018
The Energy Coding of a Structural Neural Network Based on the Hodgkin-Huxley Model.
Article in Frontiers in neuroscience, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 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
- Specific Neural Coding of Complex Neural Network Based on Time Coding Under Various Exterior Stimuli.Biomimetics (Basel, Switzerland) · 2025Article
- Altered functional network topology and connectivity in female nurses with shift work sleep disorder.Frontiers in systems neuroscience · 2025Article
- Reproducibility of biophysical in silico neuron states and spikes from event-based partial histories.PLoS computational biology · 2023Article
- Anti-Disturbance of Scale-Free Spiking Neural Network against Impulse Noise.Brain sciences · 2023Article
- Dopamine-Mediated Major Depressive Disorder in the Neural Circuit of Ventral Tegmental Area-Nucleus Accumbens-Medial Prefrontal Cortex: From Biological Evidence to Computational Models.Frontiers in cellular neuroscience · 2022Article
- Energy efficiency and coding of neural network.Frontiers in neuroscience · 2022Article
- Closing the loop of DBS using the beta oscillations in cortex.Cognitive neurodynamics · 2021Article
- Spatial information transfer in hippocampal place cells depends on trial-to-trial variability, symmetry of place-field firing, and biophysical heterogeneities.Neural networks : the official journal of the International Neural Network Society · 2021Article
- Memory retention in pyramidal neurons: a unified model of energy-based homo and heterosynaptic plasticity with homeostasis.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
- Evolutionary Advantages of Stimulus-Driven EEG Phase Transitions in the Upper Cortical Layers.Frontiers in systems neuroscience · 2021Article
- Ionic channel blockage in stochastic Hodgkin-Huxley neuronal model driven by multiple oscillatory signals.Cognitive neurodynamics · 2020Article
- The Relationship between Sparseness and Energy Consumption of Neural Networks.Neural plasticity · 2020Article
- Multiple Firing Patterns in Coupled Hindmarsh-Rose Neurons with a Nonsmooth Memristor.Neural plasticity · 2020Article
- High-Frequency Synchronization Improves Firing Rate Contrast and Information Transmission Efficiency in E/I Neuronal Networks.Neural plasticity · 2020Article
- An Energy Model of Place Cell Network in Three Dimensional Space.Frontiers in neuroscience · 2018Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Based on the Hodgkin-Huxley model, the present study established a fully connected structural neural network to simulate the neural activity and energy consumption of the network by neural energy coding theory. The numerical simulation result showed that the periodicity of the network energy distribution was positively correlated to the number of neurons and coupling strength, but negatively correlated to signal transmitting delay. Moreover, a relationship was established between the energy distribution feature and the synchronous oscillation of the neural network, which showed that when the proportion of negative energy in power consumption curve was high, the synchronous oscillation of the neural network was apparent. In addition, comparison with the simulation result of structural neural network based on the Wang-Zhang biophysical model of neurons showed that both models were essentially consistent.
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