DocumentCode
2517029
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
fYear
1994
fDate
18-21 Dec 1994
Firstpage
41
Lastpage
46
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/CNNA.1994.381709
Filename
381709
Link To Document