Title :
Signal processing and computational model for neural networks
Author :
Chen, Houjin ; Yuan, Baozong ; Baxter, D.A. ; Byrne, J.H.
Author_Institution :
Inst. of Inf. Sci., Northern Jiaotong Univ., Beijing, China
Abstract :
Neural networks can process information and generate a specific pattern of electrical activity. Through analyzing its biophysical and biochemical structure and integrating information science into medical science, equivalent circuit and computational model were made, and its interior structure and exterior properties can be studied by use of computer simulation. Therefore, one computer simulation system was designed and implemented to cognize the mechanism of generating and transmitting its information. In this paper, only its computational model of ionic currents was described and a novel algorithm was designed to adaptively optimize simulation output data so as to greatly improve simulation efficiency.
Keywords :
adaptive signal processing; digital simulation; equivalent circuits; information science; medicine; neural nets; optimisation; biochemical structure; biophysical structure; computational model; computer simulation system; electrical activity pattern; equivalent circuit model; information science; ionic currents; medical science; neural networks; signal processing; simulation output data optimization; Biochemical analysis; Biomedical signal processing; Computational modeling; Computer networks; Computer simulation; Equivalent circuits; Information analysis; Information science; Neural networks; Signal processing;
Conference_Titel :
Signal Processing, 2002 6th International Conference on
Print_ISBN :
0-7803-7488-6
DOI :
10.1109/ICOSP.2002.1180087
