Second-order information bottleneck based spiking neural networks for sEMG recognition
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Title
Second-order information bottleneck based spiking neural networks for sEMG recognition
Authors
Keywords
Surface electromyography (sEMG) recognition, Spiking neural network, Second-order information bottleneck
Journal
INFORMATION SCIENCES
Volume 585, Issue -, Pages 543-558
Publisher
Elsevier BV
Online
2021-12-01
DOI
10.1016/j.ins.2021.11.065
References
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Note: Only part of the references are listed.- High-Density Surface EMG Denoising Using Independent Vector Analysis
- (2020) Kun Wang et al. IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING
- Fast and robust learning in Spiking Feed-forward Neural Networks based on Intrinsic Plasticity mechanism
- (2019) Anguo Zhang et al. NEUROCOMPUTING
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- (2019) Elisa Donati et al. IEEE Transactions on Biomedical Circuits and Systems
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- (2019) Wentao Wei et al. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
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- (2019) Ruiming Luo et al. IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING
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- (2019) Marcello Zanghieri et al. IEEE Transactions on Biomedical Circuits and Systems
- A Fully Embedded Adaptive Real-Time Hand Gesture Classifier Leveraging HD-sEMG and Deep Learning
- (2019) Simon Tam et al. IEEE Transactions on Biomedical Circuits and Systems
- Loihi: A Neuromorphic Manycore Processor with On-Chip Learning
- (2018) Mike Davies et al. IEEE MICRO
- Information Dropout: Learning Optimal Representations Through Noisy Computation
- (2018) Alessandro Achille et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- A real-time spike-timing classifier of spatio-temporal patterns
- (2018) Banafsheh Rekabdar et al. NEUROCOMPUTING
- First-Spike-Based Visual Categorization Using Reward-Modulated STDP
- (2018) Milad Mozafari et al. IEEE Transactions on Neural Networks and Learning Systems
- Recognizing the Gradual Changes in sEMG Characteristics Based on Incremental Learning of Wavelet Neural Network Ensemble
- (2017) Feng Duan et al. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
- The Deterministic Information Bottleneck
- (2017) DJ Strouse et al. NEURAL COMPUTATION
- Conversion of Continuous-Valued Deep Networks to Efficient Event-Driven Networks for Image Classification
- (2017) Bodo Rueckauer et al. Frontiers in Neuroscience
- Training Deep Spiking Neural Networks Using Backpropagation
- (2016) Jun Haeng Lee et al. Frontiers in Neuroscience
- NeuCube: A spiking neural network architecture for mapping, learning and understanding of spatio-temporal brain data
- (2014) Nikola K. Kasabov NEURAL NETWORKS
- A million spiking-neuron integrated circuit with a scalable communication network and interface
- (2014) P. A. Merolla et al. SCIENCE
- A compound memristive synapse model for statistical learning through STDP in spiking neural networks
- (2014) Johannes Bill et al. Frontiers in Neuroscience
- Electromyography data for non-invasive naturally-controlled robotic hand prostheses
- (2014) Manfredo Atzori et al. Scientific Data
- Surface EMG Based Hand Manipulation Identification Via Nonlinear Feature Extraction and Classification
- (2013) Zhaojie Ju et al. IEEE SENSORS JOURNAL
- Effective Model Representation by Information Bottleneck Principle
- (2013) R. M. Hecht et al. IEEE Transactions on Audio Speech and Language Processing
- Supervised Hierarchical Bayesian Model-Based Electomyographic Control and Analysis
- (2013) Hyonyoung Han et al. IEEE Journal of Biomedical and Health Informatics
- A remark on the error-backpropagation learning algorithm for spiking neural networks
- (2012) Jie Yang et al. APPLIED MATHEMATICS LETTERS
- A Neuro–Fuzzy Inference System for sEMG-Based Identification of Hand Motion Commands
- (2010) Mahdi Khezri et al. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
- Twin SVM for Gesture Classification Using the Surface Electromyogram
- (2009) G.R. Naik et al. IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE
- A Hidden Markov, Multivariate Autoregressive (HMM-mAR) Network Framework for Analysis of Surface EMG (sEMG) Data
- (2008) J. Chiang et al. IEEE TRANSACTIONS ON SIGNAL PROCESSING
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