DocumentCode
3756434
Title
Numerical Investigation of the Two-Dimensioaln Neural Field Equation with Delay
Author
Pedro M. Lima;Evelyn Buckwar
Author_Institution
Inst. of Stochastics, Johannes Kepler Univ., Linz, Austria
fYear
2015
Firstpage
131
Lastpage
137
Abstract
Neural Field Equations (NFEs) are integrodifferential equations which describe the electric potential field and the interaction between neurons, in certain regions of the brain. They are becoming increasingly important for the interpretation of EEG, fMRi and optical imaging data. In the present article we describe a new efficient algorithm for the numerical simulation of two-dimensional neural fields with delays. The main features of this method are discussed and its performance is illustrated by some numerical examples.
Keywords
"Mathematical model","Delays","Neurons","Interpolation","Kernel","Convergence","Chebyshev approximation"
Publisher
ieee
Conference_Titel
Mathematics and Computers in Sciences and in Industry (MCSI), 2015 Second International Conference on
Type
conf
DOI
10.1109/MCSI.2015.46
Filename
7423954
Link To Document