Mathematical modeling and numerical analysis of the programming field in PEO10LiCF3SO3-Polypyrrole neural switch

Authors:
Mahmoud Z. Iskandarani
Affiliations:
Faculty of Science and Information Technology, Al-Zaytoonah Private University of Jordan, Jordan
Venue:
WSEAS Transactions on Computers
Year:
2009

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Abstract

The design and numerical modeling using Finite Element Analysis (FEA) of electric field strength in a programmable neural switch is carried out. The obtained model provided good approximation to the derived complex analytical solution, which is carried out by means of complex mathematical analysis employing SCHWARZ-CHRISTOFFEL transform. Effect of electrode separation and field spread in both x and y directions are studied and explained. Boundary effects on field strength representation is discussed and numerically reduced through increasing the number of nodes for each element in the finite grid. Edge effect on field strength is also eliminated using semi-infinite coplanar electrode approximation. Such a switch will function as a synaptic processor behaving in an adaptive manner and suitable to be used as a compact programmable device with other artificial neural network hardware.