Guosheng Yi

Orcid: 0000-0002-9362-6605

According to our database1, Guosheng Yi authored at least 26 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2024
Dendritic filtering determines the frequency-dependent spike train correlations.
Neurocomputing, March, 2024

Large-Scale Bio-Inspired FPGA Models for Path Planning.
IEEE Trans. Biomed. Circuits Syst., February, 2024

2023
Multi-Core ARM-Based Hardware-Accelerated Computation for Spiking Neural Networks.
IEEE Trans. Ind. Informatics, July, 2023

2022
The passive properties of dendrites modulate the propagation of slowly-varying firing rate in feedforward networks.
Neural Networks, 2022

Bio-inspired computing: A deep learning algorithm with the spike-frequency adaptation.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2022

Recognition of complex surfaces based on multiscale temporal networks.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2022

2021
Frequency-Dependent Energy Demand of Dendritic Responses to Deep Brain Stimulation in Thalamic Neurons: A Model-Based Study.
IEEE Trans. Neural Networks Learn. Syst., 2021

Asymptotic Input-Output Relationship Predicts Electric Field Effect on Sublinear Dendritic Integration of AMPA Synapses.
Neural Comput., 2021

2020
Kilohertz waveforms optimized to produce closed-state Na+ channel inactivation eliminate onset response in nerve conduction block.
PLoS Comput. Biol., 2020

Modelling the Neurons Activated by Transcranial Magnetic Stimulation.
Proceedings of the 12th International Conference on Advanced Computational Intelligence, 2020

2019
Energy Cost of Action Potential Generation and Propagation in Thalamocortical Relay Neurons During Deep Brain Stimulation.
IEEE Trans. Biomed. Eng., 2019

Modulations of dendritic Ca2+ spike with weak electric fields in layer 5 pyramidal cells.
Neural Networks, 2019

Modulation of neuronal input-output function by subthreshold electric fields from dendritic sublinear integration.
Proceedings of the 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER), 2019

2017
Contributions of adaptation currents to dynamic spike threshold on slow timescales: Biophysical insights from conductance-based models.
Commun. Nonlinear Sci. Numer. Simul., 2017

The comparison of electric fields distribution applying various coil configurations in Deep Transcranial magnetic stimulation.
Proceedings of the 10th International Congress on Image and Signal Processing, 2017

2016
Dynamics of spike threshold in a two-compartment neuron with passive dendrite.
Commun. Nonlinear Sci. Numer. Simul., 2016

Minimum energy control for a two-compartment neuron to extracellular electric fields.
Commun. Nonlinear Sci. Numer. Simul., 2016

2015
Action potential threshold of wide dynamic range neurons in rat spinal dorsal horn evoked by manual acupuncture at ST36.
Neurocomputing, 2015

Input-output relation and energy efficiency in the neuron with different spike threshold dynamics.
Frontiers Comput. Neurosci., 2015

Spike initiating dynamics of the neuron with different adaptation mechanisms to extracellular electric fields.
Commun. Nonlinear Sci. Numer. Simul., 2015

Spike-frequency adaptation of a two-compartment neuron modulated by extracellular electric fields.
Biol. Cybern., 2015

2014
Exploring how extracellular electric field modulates neuron activity through dynamical analysis of a two-compartment neuron model.
J. Comput. Neurosci., 2014

Effects of Extremely Low-frequency magnetic Fields on the Response of a conductance-Based Neuron Model.
Int. J. Neural Syst., 2014

Ordinal Pattern Based Complexity Analysis for EEG Activity Evoked by Manual Acupuncture in Healthy Subjects.
Int. J. Bifurc. Chaos, 2014

Exploring action potential initiation in neurons exposed to DC electric fields through dynamical analysis of conductance-based model.
Commun. Nonlinear Sci. Numer. Simul., 2014

Dynamic analysis of Hodgkin's three classes of neurons exposed to extremely low-frequency sinusoidal induced electric field.
Appl. Math. Comput., 2014


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