Shih-Hung Yang

Orcid: 0000-0001-5893-6299

Affiliations:
  • National Cheng Kung University, Tainan, Taiwan


According to our database1, Shih-Hung Yang authored at least 13 papers between 2011 and 2023.

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

Timeline

Legend:

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Bibliography

2023
Enhancing Prediction of Forelimb Movement Trajectory through a Calibrating-Feedback Paradigm Incorporating RAT Primary Motor and Agranular Cortical Ensemble Activity in the Goal-Directed Reaching Task.
Int. J. Neural Syst., October, 2023

2022
Enhanced Irregular Repetition Slotted ALOHA Under SIC Limitation.
IEEE Trans. Commun., 2022

Neuro-Inspired Reinforcement Learning to Improve Trajectory Prediction in Reward-Guided Behavior.
Int. J. Neural Syst., 2022

Improvement of stability in long-term motor decoding forelimb movement with a sequence imputation of temporal-based spike patterns.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2022

2021
Selection of Essential Neural Activity Timesteps for Intracortical Brain-Computer Interface Based on Recurrent Neural Network.
Sensors, 2021

DDaNet: Dual-Path Depth-Aware Attention Network for Fingerspelling Recognition Using RGB-D Images.
IEEE Access, 2021

2020
Simultaneously Spatiospectral Pattern Learning and Contaminated Trial Pruning for Electroencephalography-Based Brain Computer Interface.
Symmetry, 2020

Enhancement of Hippocampal Spatial Decoding Using a Dynamic Q-Learning Method With a Relative Reward Using Theta Phase Precession.
Int. J. Neural Syst., 2020

Inhibition of Long-Term Variability in Decoding Forelimb Trajectory Using Evolutionary Neural Networks With Error-Correction Learning.
Frontiers Comput. Neurosci., 2020

2017
Face Liveness Detection Based on Skin Blood Flow Analysis.
Symmetry, 2017

Symbiotic Structure Learning Algorithm for Feedforward Neural-Network-Aided Grey Model and Prediction Applications.
IEEE Access, 2017

2012
An evolutionary constructive and pruning algorithm for artificial neural networks and its prediction applications.
Neurocomputing, 2012

2011
Symbiotic neuron evolution of a neural-network-aided grey model for time series prediction.
Proceedings of the FUZZ-IEEE 2011, 2011


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