A Study on the Causality between the Signals of Neurons by the Autoregressive Model

• Main Authors: Pei-chiang Shao, 邵培強
• Other Authors: Wei-chang Shann
• Format: Others
• Language: zh-TW
• Published: 2011
• Online Access: http://ndltd.ncl.edu.tw/handle/27459996057994492040

碩士 === 國立中央大學 === 數學研究所 === 99 === In this study, we take the neural data which recorded signals from anterior cingulate cortex (ACC) and striatum (STR) during the period of acute quinpirole administration in anesthetized rats as an example, to make inferences on the connections between neurons by determining causality in time series. The results show that, (1) The neurons in ACC were linked before quinpirole administration, and there was a steady increase in the intensity of these linkage after quinpirole administration. (2) There were no significant causal relationships between STR neurons before nor after quinpirole administration.(3) There were no significant causal relationships between ACC and STR neurons before quinpirole administration, but information flows from ACC to STR arose after quinpirole administration. Because of the low intensity of these information flows, we conjecture that the connections between ACC and STR neurons are mediated by some undetected neurons. Finally, neurons were classified into "source", "middle" and "target" three groups according to the order of information delivery. And we construct individually a neural subnetwork before and after quinpirole administration.