Improving NeuCube spiking neural network for EEG-based pattern recognition using transfer learning

Xuanyu Wu; Yixiong Feng; Shanhe Lou; Hao Zheng; Bingtao Hu; Zhaoxi Hong; Jianrong Tan

doi:10.1016/j.neucom.2023.01.087

ScienceGate Book Chapters

JOURNAL ARTICLE

Improving NeuCube spiking neural network for EEG-based pattern recognition using transfer learning

Xuanyu Wu Yixiong Feng Shanhe Lou Hao Zheng Bingtao Hu Zhaoxi Hong Jianrong Tan

Year: 2023 Journal: Neurocomputing Vol: 529 Pages: 222-235 Publisher: Elsevier BV

DOI: 10.1016/j.neucom.2023.01.087

Get Full-Text PDF Get Analytical Report

Keywords:

Computer science Pattern recognition (psychology) Electroencephalography Artificial intelligence Transfer of learning Spiking neural network Covariance Artificial neural network Machine learning Mathematics Statistics

Metrics

Cited By

7.91

FWCI (Field Weighted Citation Impact)

Refs

0.97

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

EEG and Brain-Computer Interfaces

Life Sciences → Neuroscience → Cognitive Neuroscience

Advanced Memory and Neural Computing

Physical Sciences → Engineering → Electrical and Electronic Engineering

Neural dynamics and brain function

Life Sciences → Neuroscience → Cognitive Neuroscience

Improving NeuCube spiking neural network for EEG-based pattern recognition using transfer learning

Metrics

Citation History

Topics

Related Documents

Feasibility of NeuCube spiking neural network architecture for EMG pattern recognition

Spiking neural network-based control chart pattern recognition

Spiking neural network-based control chart pattern recognition

Magnetic Skyrmion-Based Spiking Neural Network for Pattern Recognition

Spiking Neural Network-Based Digit Pattern Recognition in FPGA