Chen Liu

Orcid: 0000-0003-1635-3479

Affiliations:
  • Tianjin University, School of Electrical Engineering and Automation, China (PhD 2016)
  • Case Western Reserve University, Department of Electrical Engineering and Computer Science, Cleveland, OH, USA (2015)


According to our database1, Chen Liu authored at least 43 papers between 2013 and 2024.

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

Timeline

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Bibliography

2024
Scalable Multi-Hierarchy Embedded Platform for Neural Population Simulations.
IEEE Trans. Biomed. Circuits Syst., February, 2024

Multi-origins of pathological theta oscillation from neuron to network inferred by a combined data and model study with cubature Kalman filter.
Commun. Nonlinear Sci. Numer. Simul., 2024

Kinematic-driven human-robot interaction system with deep learning for flexible acupuncture needling manipulations.
Biomed. Signal Process. Control., 2024

NClSilico: A Closed-Loop neuromodulation platform in silico.
Biomed. Signal Process. Control., 2024

Model-Based Closed-Loop Seizure Suppression: Algorithm Development and Hardware Implementation.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2024

Deep Brain Stimulation Reshapes the Brain's Internal State Observed by Microstate-Improved Brain Network Analysis.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2024

2023
Probing the flexible internal state transition and low-dimensional manifold dynamics of human brain with acupuncture.
Biomed. Signal Process. Control., April, 2023

An Enhanced EEG Microstate Recognition Framework Based on Deep Neural Networks: An Application to Parkinson's Disease.
IEEE J. Biomed. Health Informatics, March, 2023

Multi-compartment structure optimizes the deep learning network from the biophysical perspective.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2023

A Closed-Loop Electrophysiological Hardware Prototype to Estimate and Control Neuronal States.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2023

2022
Intensity-Varied Closed-Loop Noise Stimulation for Oscillation Suppression in the Parkinsonian State.
IEEE Trans. Cybern., 2022

Subthalamic and pallidal stimulation in Parkinson's disease induce distinct brain topological reconstruction.
NeuroImage, 2022

Decoding Digital Visual Stimulation From Neural Manifold With Fuzzy Leaning on Cortical Oscillatory Dynamics.
Frontiers Comput. Neurosci., 2022

Modulation of cortical oscillations by periodic electrical stimulation is frequency-dependent.
Commun. Nonlinear Sci. Numer. Simul., 2022

Adaptive closed-loop control strategy inhibiting pathological basal ganglia oscillations.
Biomed. Signal Process. Control., 2022

Oscillation suppression effects of intermittent noisy deep brain stimulation induced by coordinated reset pattern based on a computational model.
Biomed. Signal Process. Control., 2022

Analysis of Brain Functional Network Based on EEG Signals for Early-Stage Parkinson's Disease Detection.
IEEE Access, 2022

An Accelerometer-based Wearable Multi-node Motion Detection System of Freezing of Gait in Parkinson's Disease.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2022

2021
Delayed Feedback-Based Suppression of Pathological Oscillations in a Neural Mass Model.
IEEE Trans. Cybern., 2021

2020
Supervised Network-Based Fuzzy Learning of EEG Signals for Alzheimer's Disease Identification.
IEEE Trans. Fuzzy Syst., 2020

Firing Rate Oscillation and Stochastic Resonance in Cortical Networks With Electrical-Chemical Synapses and Time Delay.
IEEE Trans. Fuzzy Syst., 2020

Multiple Stochastic Resonances and Oscillation Transitions in Cortical Networks With Time Delay.
IEEE Trans. Fuzzy Syst., 2020

The role of coupling connections in a model of the cortico-basal ganglia-thalamocortical neural loop for the generation of beta oscillations.
Neural Networks, 2020

Neural Network-Based Closed-Loop Deep Brain Stimulation for Modulation of Pathological Oscillation in Parkinson's Disease.
IEEE Access, 2020

2019
Design of Hidden-Property-Based Variable Universe Fuzzy Control for Movement Disorders and Its Efficient Reconfigurable Implementation.
IEEE Trans. Fuzzy Syst., 2019

Real-Time Neuromorphic System for Large-Scale Conductance-Based Spiking Neural Networks.
IEEE Trans. Cybern., 2019

Noise-Induced Improvement of the Parkinsonian State: A Computational Study.
IEEE Trans. Cybern., 2019

2018
Modeling and Analysis of Beta Oscillations in the Basal Ganglia.
IEEE Trans. Neural Networks Learn. Syst., 2018

Nonlinear predictive control for adaptive adjustments of deep brain stimulation parameters in basal ganglia-thalamic network.
Neural Networks, 2018

Cost-efficient FPGA implementation of a biologically plausible dopamine neural network and its application.
Neurocomputing, 2018

FPGA implementation of hippocampal spiking network and its real-time simulation on dynamical neuromodulation of oscillations.
Neurocomputing, 2018

2017
Closed-Loop Modulation of the Pathological Disorders of the Basal Ganglia Network.
IEEE Trans. Neural Networks Learn. Syst., 2017

Efficient hardware implementation of the subthalamic nucleus-external globus pallidus oscillation system and its dynamics investigation.
Neural Networks, 2017

Neural mass models describing possible origin of the excessive beta oscillations correlated with Parkinsonian state.
Neural Networks, 2017

2016
Predictive control for spike pattern modulation of a two-compartment neuron model.
Neurocomputing, 2016

2015
Variable universe fuzzy closed-loop control of tremor predominant Parkinsonian state based on parameter estimation.
Neurocomputing, 2015

Adaptive Control of Parkinson's State Based on a Nonlinear Computational Model with Unknown Parameters.
Int. J. Neural Syst., 2015

Dynamical analysis of Parkinsonian state emulated by hybrid Izhikevich neuron models.
Commun. Nonlinear Sci. Numer. Simul., 2015

Adaptive stochastic resonance in self-organized small-world neuronal networks with time delay.
Commun. Nonlinear Sci. Numer. Simul., 2015

2014
Model-based iterative learning control of Parkinsonian state in thalamic relay neuron.
Commun. Nonlinear Sci. Numer. Simul., 2014

The effects of time delay on the stochastic resonance in feed-forward-loop neuronal network motifs.
Commun. Nonlinear Sci. Numer. Simul., 2014

Delay-induced multiple vibrational resonance in the bi-fan neuronal network motifs.
Proceedings of the 7th International Conference on Biomedical Engineering and Informatics, 2014

2013
Closed-Loop Control of the thalamocortical Relay Neuron's Parkinsonian State Based on Slow Variable.
Int. J. Neural Syst., 2013


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