World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
33
Citations
3968
World Ranking
12778
National Ranking
1575

Overview

Bin Deng is affiliated with Tianjin University in China and has made contributions primarily within the fields of Neuroscience and Engineering. Their work spans subfields such as Cognitive Neuroscience, Electrical and Electronic Engineering, Cellular and Molecular Neuroscience, Artificial Intelligence, and Aerospace Engineering.

The scientist's research focuses on topics including Neural dynamics and brain function, Advanced Memory and Neural Computing, Neuroscience and Neural Engineering, EEG and Brain-Computer Interfaces, Neural Networks and Reservoir Computing, Ferroelectric and Negative Capacitance Devices, and Functional Brain Connectivity Studies.

Bin Deng has an extensive list of recent papers published in notable academic venues. These include:

  • "BiCoSS: Toward Large-Scale Cognition Brain With Multigranular Neuromorphic Architecture" (2021), IEEE Transactions on Neural Networks and Learning Systems
  • "Neuromorphic Context-Dependent Learning Framework With Fault-Tolerant Spike Routing" (2021), IEEE Transactions on Neural Networks and Learning Systems
  • "Efficient Spike-Driven Learning With Dendritic Event-Based Processing" (2021), Frontiers in Neuroscience
  • "CerebelluMorphic: Large-Scale Neuromorphic Model and Architecture for Supervised Motor Learning" (2021), IEEE Transactions on Neural Networks and Learning Systems
  • "SAM: A Unified Self-Adaptive Multicompartmental Spiking Neuron Model for Learning With Working Memory" (2022), Frontiers in Neuroscience

The frequent co-authors with whom Bin Deng collaborates include Jiang Wang, Shuangming Yang, Guosheng Yi, Xile Wei, and Jixuan Wang.

Publications by Bin Deng have appeared in key academic journals and conference series such as:

  • IEEE Transactions on Biomedical Circuits and Systems
  • IEEE Transactions on Neural Networks and Learning Systems
  • Frontiers in Neuroscience
  • IEEE Transactions on Neural Systems and Rehabilitation Engineering
  • Neural Networks

Best Publications

  • Scalable Digital Neuromorphic Architecture for Large-Scale Biophysically Meaningful Neural Network With Multi-Compartment Neurons

    Shuangming Yang;Bin Deng;Jiang Wang;Huiyan Li

  • Power spectral density and coherence analysis of Alzheimer’s EEG

    Ruofan Wang;Jiang Wang;Haitao Yu;Xile Wei

  • An IoT-Enabled Stroke Rehabilitation System Based on Smart Wearable Armband and Machine Learning

    Geng Yang;Jia Deng;Gaoyang Pang;Hao Zhang

  • BiCoSS: Toward Large-Scale Cognition Brain With Multigranular Neuromorphic Architecture.

    Shuangming Yang;Jiang Wang;Xinyu Hao;Huiyan Li

  • Neuromorphic context-dependent learning framework with fault-tolerant spike routing

    Shuangming Yang;Jiang Wang;Bin Deng;Mostafa Rahimi Azghadi

  • Vibrational resonance in neuron populations

    Bin Deng;Jiang Wang;Xile Wei;Kai-ming Tsang

  • Efficient Spike-Driven Learning With Dendritic Event-Based Processing.

    Shuangming Yang;Tian Gao;Jiang Wang;Bin Deng

  • CerebelluMorphic: large-scale neuromorphic model and architecture for supervised motor learning

    Shuangming Yang;Jiang Wang;Nan Zhang;Bin Deng

  • Real-Time Neuromorphic System for Large-Scale Conductance-Based Spiking Neural Networks

    Shuangming Yang;Jiang Wang;Bin Deng;Chen Liu

  • Decreased coherence and functional connectivity of electroencephalograph in Alzheimer's disease.

    Ruofan Wang;Jiang Wang;Haitao Yu;Xile Wei

  • H∞ Variable universe adaptive fuzzy control for chaotic system

    Unknown

  • Observer-based robust adaptive variable universe fuzzy control for chaotic system

    Jiang Wang;Guo-Dong Qiao;Bin Deng

  • Chaotic phase synchronization in small-world networks of bursting neurons

    Haitao Yu;Jiang Wang;Bin Deng;Xile Wei

  • Cost-efficient FPGA implementation of basal ganglia and their Parkinsonian analysis

    Shuangming Yang;Jiang Wang;Shunan Li;Bin Deng

  • Adaptive backstepping sliding mode control for chaos synchronization of two coupled neurons in the external electrical stimulation

    Haitao Yu;Jiang Wang;Bin Deng;Xile Wei

  • Vibrational resonance in excitable neuronal systems

    Haitao Yu;Jiang Wang;Chen Liu;Bin Deng

  • Multivariate multi-scale weighted permutation entropy analysis of EEG complexity for Alzheimer's disease.

    Bin Deng;Lihui Cai;Shunan Li;Ruofan Wang

  • Complexity of resting-state EEG activity in the patients with early-stage Parkinson’s disease

    Guo-Sheng Yi;Jiang Wang;Bin Deng;Xi-Le Wei

  • Functional Integration and Segregation in Multiplex Brain Networks for Alzheimer's Disease.

    Lihui Cai;Xile Wei;Jing Liu;Lin Zhu

  • Synchronization of FitzHugh-Nagumo neurons in external electrical stimulation via nonlinear control

    Jiang Wang;Ting Zhang;Bin Deng

  • Synchronization of coupled FitzHugh–Nagumo systems via MIMO feedback linearization control

    Ting Zhang;Jiang Wang;Xiangyang Fei;Bin Deng

  • Multiple feature extraction and classification of electroencephalograph signal for Alzheimers' with spectrum and bispectrum

    Ruofan Wang;Jiang Wang;Shunan Li;Haitao Yu

  • Training Spiking Neural Networks for Cognitive Tasks: A Versatile Framework Compatible With Various Temporal Codes

    Chaofei Hong;Xile Wei;Jiang Wang;Bin Deng

  • Digital implementations of thalamocortical neuron models and its application in thalamocortical control using FPGA for Parkinson's disease

    Shuangming Yang;Jiang Wang;Shunan Li;Huiyan Li

  • Variable universe fuzzy closed-loop control of tremor predominant Parkinsonian state based on parameter estimation

    Chen Liu;Chen Liu;Jiang Wang;Bin Deng;Xi-Le Wei

Frequent Co-Authors

Kenneth A. Loparo
Kenneth A. Loparo Case Western Reserve University
Bernabé Linares-Barranco
Bernabé Linares-Barranco University of Seville
Shuangxia Niu
Shuangxia Niu Hong Kong Polytechnic University
Bo Li
Bo Li Hong Kong University of Science and Technology

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