DocumentCode
1685478
Title
How reliable is the connectivity in cortical neural networks?
Author
Faisal, A. Aldo ; Laughlin, Simon B. ; White, John A.
Author_Institution
Dept. of Zoology, Cambridge Univ., UK
Volume
2
fYear
2002
fDate
6/24/1905 12:00:00 AM
Firstpage
1661
Lastpage
1666
Abstract
Neurons use stochastic components, including ion channels, to process and transmit information. In small structures these can cause significant signal fluctuations. We developed a stochastic simulator to investigate the reliability of cortical axons. Ion channel stochasticity makes these thin axons highly susceptible to spontaneous action potentials and information rates decrease linearly with distance
Keywords
neurophysiology; physiological models; reliability; stochastic processes; white noise; connectivity; cortical axons; cortical neural networks; information rates; ion channels; reliability; signal fluctuations; spontaneous action potentials; stochastic components; stochastic simulator; stochasticity; Biomembranes; Conductivity; Fluctuations; Intelligent networks; Nerve fibers; Neural networks; Neurons; Partial differential equations; Stochastic processes; Voltage;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 2002. IJCNN '02. Proceedings of the 2002 International Joint Conference on
Conference_Location
Honolulu, HI
ISSN
1098-7576
Print_ISBN
0-7803-7278-6
Type
conf
DOI
10.1109/IJCNN.2002.1007767
Filename
1007767
Link To Document