Bin Deng

Orcid: 0000-0002-8094-8656

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


According to our database1, Bin Deng authored at least 94 papers between 2007 and 2024.

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

Timeline

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Bibliography

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

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

2023
Auditory perception architecture with spiking neural network and implementation on FPGA.
Neural Networks, August, 2023

Comparison and Selection of Spike Encoding Algorithms for SNN on FPGA.
IEEE Trans. Biomed. Circuits Syst., February, 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

Fast and accurate object recognition based on tactile data by using Dendrite Net.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2023

2022
CerebelluMorphic: Large-Scale Neuromorphic Model and Architecture for Supervised Motor Learning.
IEEE Trans. Neural Networks Learn. Syst., 2022

Neuromorphic Context-Dependent Learning Framework With Fault-Tolerant Spike Routing.
IEEE Trans. Neural Networks Learn. Syst., 2022

BiCoSS: Toward Large-Scale Cognition Brain With Multigranular Neuromorphic Architecture.
IEEE Trans. Neural Networks Learn. Syst., 2022

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

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

Multi-scale convolutional neural network for texture recognition.
Displays, 2022

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

Multi-task learning: A solution of small sample size problem in floor-based gait recognition.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2022

2021
Reconstruction of a Fully Paralleled Auditory Spiking Neural Network and FPGA Implementation.
IEEE Trans. Biomed. Circuits Syst., 2021

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

A CORDIC based real-time implementation and analysis of a respiratory central pattern generator.
Neurocomputing, 2021

2020
Scalable Digital Neuromorphic Architecture for Large-Scale Biophysically Meaningful Neural Network With Multi-Compartment Neurons.
IEEE Trans. Neural Networks Learn. Syst., 2020

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

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

Biomarkers for Alzheimer's Disease Defined by a Novel Brain Functional Network Measure.
IEEE Trans. Biomed. Eng., 2019

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

Digital Implementation of the Retinal Spiking Neural Network under Light Stimulation.
Proceedings of the 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER), 2019

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

Firing regularity control of single neuron based on closed-loop ISI clamp.
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

Analysis of Spontaneous EEG Activity in Alzheimer's Disease Using Weighted Visibility Graph.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 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

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

A real-time FPGA implementation of a biologically inspired central pattern generator network.
Neurocomputing, 2017

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

Real-Time Prediction of the Unobserved States in Dopamine Neurons on a Reconfigurable FPGA Platform.
Proceedings of the Neural Information Processing - 24th International Conference, 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

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

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

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

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

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

Stochastic resonance in feedforward acupuncture networks.
Commun. Nonlinear Sci. Numer. Simul., 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

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

The implementation of feedforward network on field programmable gate array.
Proceedings of the 7th International Conference on Biomedical Engineering and Informatics, 2014

Dynamic control of seizure states with input-output linearization method based on the Pinsky-Rinzel model.
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

The effects of induction electric field on sensitivity of firing rate in a single-compartment neuron model.
Neurocomputing, 2013

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

Control of synchronization and spiking regularity by heterogenous aperiodic high-frequency signal in coupled excitable systems.
Commun. Nonlinear Sci. Numer. Simul., 2013

Observer-based tracking control of abnormal oscillations in demyelination symptom.
Biomed. Signal Process. Control., 2013

2012
Decoding acupuncture electrical signals in spinal dorsal root ganglion.
Neurocomputing, 2012

The intrinsic phase response properties of an interneuron model.
Neurocomputing, 2012

Bifurcations in the Hodgkin-Huxley model exposed to DC electric fields.
Neurocomputing, 2012

The effect of extreme low frequency external electric field on the adaptability in the Ermentrout model.
Neurocomputing, 2012

Input optimal control strategy for the desynchronization of coupled neurons.
Proceedings of the 5th International Conference on BioMedical Engineering and Informatics, 2012

2011
Characterizing electrical signals evoked by acupuncture through complex network mapping: A new perspective on acupuncture.
Comput. Methods Programs Biomed., 2011

UKF-based key-parameters compensation control for abnormal firing in PR model.
Proceedings of the 4th International Conference on Biomedical Engineering and Informatics, 2011

External electric field effect on the PR neuronal firing under the ephaptic transmission.
Proceedings of the 4th International Conference on Biomedical Engineering and Informatics, 2011

A new deep brain stimulation waveform based on PWM.
Proceedings of the 4th International Conference on Biomedical Engineering and Informatics, 2011

Parameter estimation in Hodgkin-Huxley model with adaptive method.
Proceedings of the 4th International Conference on Biomedical Engineering and Informatics, 2011

Spiking patterns of hippocampus networks in DC electrical field.
Proceedings of the 4th International Conference on Biomedical Engineering and Informatics, 2011

Phase response properties of a bursting neuron with spike adding structure.
Proceedings of the 4th International Conference on Biomedical Engineering and Informatics, 2011

Action potential initial dynamical control of a minimum neuron model.
Proceedings of the 4th International Conference on Biomedical Engineering and Informatics, 2011

2010
Semi-global robust output regulation of minimum-phase nonlinear systems based on high-gain nonlinear internal model.
Int. J. Control, 2010

Effect of the Twirling Frequency on Firing Patterns Evoked by Acupuncture.
Proceedings of the Life System Modeling and Intelligent Computing, 2010

2009
Chaotic Synchronization of Coupled Hindmarsh-Rose Neurons Using Adaptive Control.
Proceedings of the 2nd International Conference on BioMedical Engineering and Informatics, 2009

Coefficient of Variation Based Analysis of Coherence Resonance in Hodgkin-Huxley Neuron Model.
Proceedings of the 2nd International Conference on BioMedical Engineering and Informatics, 2009

2007
Global Synchronization of Ghostburster Neurons Via Active Control.
Proceedings of the Bio-Inspired Computational Intelligence and Applications, 2007


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