Cooperative Neural Decoding of Goal-directed Forelimb Movement with Internal Error Feedback Scheme from Rodent Motor Cortex
| Autor: | Yi-Ting Chou, 周奕婷 |
|---|---|
| Rok vydání: | 2018 |
| Druh dokumentu: | 學位論文 ; thesis |
| Popis: | 106 Many studies in Brain Machine Interfaces (BMI) mainly focused on the neural decoding of goal-directed movement. Goal-directed movement coordinated the reaching target in external environment through vision, and then the upper limb would be drove to execute the motor movement. Goal-directed movement occurred frequently in daily life such as picking up a cup of coffee. To accomplish the goal successfully, the reaching movement required on-line control to modify or update the ongoing hand movement through visual feedback in mostly condition. Moreover, during the on-line correction of goal-directed movement, the visually derived relative position of hand and target was the key information for modifying the movement state. It had been found that the neural population in premotor cortex of monkeys encoded the this information: visually derived relative position of hand and target. In aspect of intracortical microstimulation, the forelimb areas in secondary motor cortex of rodent was considered equivalent to premotor area in monkeys. In this study, we demonstrated that the target-hand relative position could be decoded from the neural activity in secondary motor cortex of rodents successfully. This decoding model worked as an internal error feedback scheme to decode the visual-feedback-related information from secondary motor cortex. By combing this internal error feedback model to present commonly used neural decoder in BMI could significantly improve the decoding performance. Kernel sliced inverse regression (kSIR) and feed forward neural network were used to compare the decoding performance and exhibit the decoding improvement on continuous trajectory decoding. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
| Externí odkaz: |
|