Title :
Structure of a CNN cell with linear and second order polynomial feedback terms
Author :
Laiho, Mika ; Paasio, Ari ; Halonen, Kari
Author_Institution :
Electron. Circuit Design Lab., Helsinki Univ. of Technol., Espoo, Finland
Abstract :
A cellular neural network cell structure that can be used for analyzing brain electrical activity is presented. The cell is fully programmable with both linear and second order polynomial interactions between cells. A multiplier structure is presented in which counteracting nonlinearities are designed to cancel each other out
Keywords :
bioelectric potentials; biology computing; brain models; cellular neural nets; digital simulation; feedback; CNN; brain electrical activity analysis; cellular neural network cell structure; counteracting nonlinearities; linear feedback; multiplier structure; second-order polynomial feedback; Cellular neural networks; Current limiters; Electronic circuits; Electronic mail; Feedback; Feedforward systems; Laboratories; Neurofeedback; Polynomials; Voltage control;
Conference_Titel :
Cellular Neural Networks and Their Applications, 2000. (CNNA 2000). Proceedings of the 2000 6th IEEE International Workshop on
Conference_Location :
Catania
Print_ISBN :
0-7803-6344-2
DOI :
10.1109/CNNA.2000.877362
