Data_Sheet_1_Inhibition of Long-Term Variability in Decoding Forelimb Trajectory Using Evolutionary Neural Networks With Error-Correction Learning.docx

Data_Sheet_1_Inhibition of Long-Term Variability in Decoding Forelimb Trajectory Using Evolutionary Neural Networks With Error-Correction Learning.docx

<p>Objective: In brain machine interfaces (BMIs), the functional mapping between neural activities and kinematic parameters varied over time owing to changes in neural recording conditions. The variability in neural recording conditions might result in unstable long-term decoding performance....

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Main Author: Shih-Hung Yang (4225765) (author)
Other Authors: Han-Lin Wang (8638884) (author), Yu-Chun Lo (1731784) (author), Hsin-Yi Lai (636525) (author), Kuan-Yu Chen (58762) (author), Yu-Hao Lan (8638887) (author), Ching-Chia Kao (8638890) (author), Chin Chou (8638893) (author), Sheng-Huang Lin (8040437) (author), Jyun-We Huang (8638896) (author), Ching-Fu Wang (8638899) (author), Chao-Hung Kuo (669043) (author), You-Yin Chen (425921) (author)
Published: 2020
Subjects:
Neuroscience
Computer Engineering
Theoretical Computer Science
Applied Computer Science
Computational Biology
Computer Software
Central Nervous System
Computer Perception, Memory and Attention
Signal Processing
Image Processing
Coding and Information Theory
brain machine interfaces
neural decoding
error feedback
evolutionary algorithm
recurrent neural network
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