M.Sc. C.S. Proposal Defense: Korsie J. Ballesteros (Matrix Representation and Simulation Algorithm for Numerical Spiking Neural P Systems)

Jan. 12, 2022


10 a.m. - noon

Zoom Link

Meeting ID: 848 5169 5720 ( https://up-edu.zoom.us/j/84851695720 )

Meeting Password: 17543897

Panel Members

Richelle Ann B. Juayong, Ph.D., Chair
Francis George C. Cabarle, Ph.D., Adviser
Johnrob Y. Bantang, Ph.D., Reader



Spiking Neural P systems (SNP systems) are biologically inspired models of computation based on the firing behavior of neurons. Variations of these systems have been proposed to solve more specific problems. A more recent variation called the Numerical Spiking Neural P systems(NSNP systems) combines concepts from SNP systems and Numerical P systems to create a new model of computation This variant allows continuous production functions and in effect, allows for faster resolution of rules within neurons when compared to the traditional regular expression matching mechanism used by more classical variants of SNP systems. The proposed research aims to formulate a matrix representation and simulation algorithm for NSNP Systems. Another contribution of this work is also to solve an NP-Complete problem like the Subset Sum problem using NSNP Systems.