Improvement of stability in long-term motor decoding forelimb movement with a sequence imputation of temporal-based spike patterns
- Resource Type
- Conference
- Authors
- Kuo, Yun-Ting; Yang, Shih-Hung; Chou, Chin-Yu; Chang, Hao-Cheng; Chen, Kuan-Yu; Chen, You-Yin
- Source
- 2022 IEEE Biomedical Circuits and Systems Conference (BioCAS) Biomedical Circuits and Systems Conference (BioCAS), 2022 IEEE. :625-629 Oct, 2022
- Subject
- Bioengineering
Circuits and systems
Neurons
Rats
Brain-computer interfaces
Decoding
Circuit stability
imputation
missing data
brain machine interface (BMI)
- Language
Instability of neural signals is a vital issue in intracortical brain machine interface (iBMI) systems which caused by missing neuron day by day. This study proposed mean-perturbation to impute missing neural spike train during rat forelimb movement. Our results showed that the proposed mean-perturbation for sequence imputation of missing neural spikes was used to enhance the long-term decoding performance.