Title :
Complexity of information transmission in human cerebral cortex
Author_Institution :
Dept. of Phys. & Biophys., Fudan Univ., Shanghai, China
Abstract :
This paper gives the result of our study in the human cerebral cortex by applying the mutual information theory of Vastano and Swinney (1988). As an example, we recorded eight-channel electroencephalographs (EEGs) of a young student who was doing a mental arithmetic task with eyes closed. The information transmissions among these eight channels were computed. The transmission intensities were characterized by the algorithm complexity of Kolmogorov (1965), and two new methods of coarse graining are proposed
Keywords :
bioelectric potentials; computational complexity; electroencephalography; neurophysiology; EEG; coarse graining; computational complexity; human cerebral cortex; information transmission; neurophysiology; Arithmetic; Cerebral cortex; Delay effects; Electrodes; Electroencephalography; Humans; Mutual information; Sampling methods; Scalp; Time measurement;
Conference_Titel :
Neural Networks Proceedings, 1998. IEEE World Congress on Computational Intelligence. The 1998 IEEE International Joint Conference on
Conference_Location :
Anchorage, AK
Print_ISBN :
0-7803-4859-1
DOI :
10.1109/IJCNN.1998.686002
