Using Time delay Neural Networks to Simulate Signal Language of Action from Cerebral Cortex Evoked Potential of SD Rat Based on ICA

• Main Authors: Tung-Tai Kuo, 郭東泰
• Other Authors: Rong-Chin Lo
• Format: Others
• Language: en_US
• Published: 2009
• Online Access: http://ndltd.ncl.edu.tw/handle/fz22rw

碩士 === 國立臺北科技大學 === 電腦與通訊研究所 === 97 === More than 40 years, widespread electrophysiological study of the single neuron has accumulated knowledge of cortical functions. Many studies focus whether it was collective response of neurons which couldn’t directly infer the relationship between single neuron that it’s not complete research. In the experiment, getting the signal of rat cortical layer and using ICA obtains an independent source signals and then apply the time-delay back-propagation neural network to establish a classification system. Assume that neurons in the brain interpreting signals is similar to human interpreting the language and then we code words into letters and observe the coding results. By coding nerve signals from various kinds of motion, it produces a large number of coding results and then we analyze the results to understand the operational mechanism between cortex signal and brain cortex. This study inferred response relationship between neurons in order to understand mechanism of cerebral cortex.