DocumentCode :
423575
Title :
Dual threshold based neural modeling to study systems of spiking neurons
Author :
Lovelace, Jeffrey J. ; Cios, Krzysztof J.
Author_Institution :
Dept. of Bioeng., Toledo Univ., OH, USA
Volume :
1
fYear :
2004
fDate :
25-29 July 2004
Firstpage :
483
Lastpage :
488
Abstract :
The paper describes development and application of a spiking neuron model. The neuron model mimics the observed behavior of neurons in that the firing frequency is proportional to the input signal. The network of such spiking neurons is used for processing of received echolocation data to map out an area in a 2D space in real-time.
Keywords :
bioacoustics; biomimetics; mechanoception; medical computing; neural nets; neurophysiology; physiological models; dual threshold based neural modeling; echolocation data; firing frequency; spiking neuron model; Biomedical engineering; Control systems; Delay; Design engineering; Frequency; Information processing; Nervous system; Neurons; Organisms; Signal processing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks, 2004. Proceedings. 2004 IEEE International Joint Conference on
ISSN :
1098-7576
Print_ISBN :
0-7803-8359-1
Type :
conf
DOI :
10.1109/IJCNN.2004.1379957
Filename :
1379957
Link To Document :
بازگشت