Evoked Potential Analysis of Rat Motor Cortex Based on Iterated Function Systems

• Main Authors: Chuan Chin Lim, 淩聖欽
• Other Authors: 駱榮欽
• Format: Others
• Language: en_US
• Published: 2014
• Online Access: http://ndltd.ncl.edu.tw/handle/v7338q

碩士 === 國立臺北科技大學 === 電腦與通訊研究所 === 102 === Brain research has been study for more than 40years and brain neurons signals is required for understanding brain functions. Motor cortex is the main part that controls actions. Therefore, recording and analyzing the brain neurons signals in the motor cortex will help to understand relationships between actions and brain neurons signals. In the study, we use multichannel electrode of micro-wire to obtain the neural signals from motor cortex of rats. Different kind of actions signals was classified and applied ICA for obtaining independent source signals. IFS were used to analyze relationships between neural signals and actions. Assume that an action is merged by neural signals that combined from different path and neuron signals of the nervous systems that produced by motor cortex, then we encode by inverse IFS . Different kind of actions is encoded by IFS. Analyze the results to understand the relationships between the neural signals and actions.