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
fDate :
6/24/1905 12:00:00 AM
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;
Conference_Titel :
Neural Networks, 2002. IJCNN '02. Proceedings of the 2002 International Joint Conference on
Conference_Location :
Honolulu, HI
Print_ISBN :
0-7803-7278-6
DOI :
10.1109/IJCNN.2002.1007767
