Haitao Yu

Orcid: 0000-0003-3760-5970

Affiliations:
  • Tianjin University, School of Electrical and Information Engineering, China


According to our database1, Haitao Yu authored at least 35 papers between 2013 and 2023.

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

Timeline

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Bibliography

2023
Efficient identification of Alzheimer's brain dynamics with Spatial-Temporal Autoencoder: A deep learning approach for diagnosing brain disorders.
Biomed. Signal Process. Control., September, 2023

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

A Dynamic Transformer Network With Early Exit Mechanism for Fast Detection of Multiscale Surface Defects.
IEEE Trans. Instrum. Meas., 2023

2022
Gating Attractor Dynamics of Frontal Cortex Under Acupuncture via Recurrent Neural Network.
IEEE J. Biomed. Health Informatics, 2022

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

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

A Novel Screening Framework for Lymph Node Metastasis in Colorectal Cancer Based on Deep Learning Approaches.
Proceedings of the ICMIP 2022: 7th International Conference on Multimedia and Image Processing, Tianjin, China, January 14, 2022

A Non-Invasive System for On-line Surface Defect Detection on Special-shaped Steel towards Real Production Lines.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2022

2021
Electroencephalographic cross-frequency coupling and multiplex brain network under manual acupuncture stimulation.
Biomed. Signal Process. Control., 2021

2020
Training Spiking Neural Networks for Cognitive Tasks: A Versatile Framework Compatible With Various Temporal Codes.
IEEE Trans. Neural Networks Learn. Syst., 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

Resonance transmission of multiple independent signals in cortical networks.
Neurocomputing, 2020

Fluctuation Scaling of Neuronal Firing and Bursting in Spontaneously Active Brain Circuits.
Int. J. Neural Syst., 2020

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

Reconstruction of functional brain network in Alzheimer's disease via cross-frequency phase synchronization.
Neurocomputing, 2018

Synaptic dynamics regulation in response to high frequency stimulation in neuronal networks.
Commun. Nonlinear Sci. Numer. Simul., 2018

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

Propagation of Collective Temporal Regularity in Noisy Hierarchical Networks.
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

Stochastic resonance enhancement of small-world neural networks by hybrid synapses and time delay.
Commun. Nonlinear Sci. Numer. Simul., 2017

Functional Connectivity Analysis of EEG in AD Patients with Normalized Permutation Index.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

2016
Digital implementations of thalamocortical neuron models and its application in thalamocortical control using FPGA for Parkinson's disease.
Neurocomputing, 2016

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

2015
Cost-efficient FPGA implementation of basal ganglia and their Parkinsonian analysis.
Neural Networks, 2015

Variable universe fuzzy closed-loop control of tremor predominant Parkinsonian state based on parameter estimation.
Neurocomputing, 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
Stochastic resonance in feedforward acupuncture networks.
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

Optimal estimation of the parameters affecting the Parkinson's disease state of thalamic cell model.
Proceedings of the 7th International Conference on Biomedical Engineering and Informatics, 2014

Enhanced stochastic resonance induced by mean field feedback in synaptic coupled networks.
Proceedings of the 7th International Conference on Biomedical Engineering and Informatics, 2014

Synchronization of Ghostburster neurons via iterative learning control.
Proceedings of the 7th International Conference on Biomedical Engineering and Informatics, 2014

2013
Delayed feedback control of bursting synchronization in small-world neuronal networks.
Neurocomputing, 2013


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