Title :
Some cortical spiking neuron models using CNN
Author :
Lotz, Károly ; Vidnyánszky, Zoltán ; Roska, Tamás ; Vandewalle, Joos ; Hámori, József ; Jacobs, Adam ; Werblin, Frank
Author_Institution :
Analogical & Neural Comput. Lab., Hungarian Acad. of Sci., Budapest, Hungary
Abstract :
In this paper we show cellular neural network (CNN) models of some basic types of cells characterised by diverse spiking patterns. After showing some preliminary models (ion channels, neurons), CNN models of the action potential generation are given followed by an analysis of the rate coding capabilities of the models. Furthermore, CNN models of neurons with diverse intrinsic firing patterns are presented followed by some conclusions
Keywords :
cellular neural nets; CNN; action potential generation; cortical spiking neuron models; diverse spiking patterns; intrinsic firing patterns; ion channels; neurons; Biological system modeling; Biology computing; Biomembranes; Cells (biology); Cellular neural networks; Circuits; Electronic mail; Jacobian matrices; Neurons; Voltage control;
Conference_Titel :
Cellular Neural Networks and their Applications, 1994. CNNA-94., Proceedings of the Third IEEE International Workshop on
Conference_Location :
Rome
Print_ISBN :
0-7803-2070-0
DOI :
10.1109/CNNA.1994.381709
