Implementation of Arithmetic Operations With Time-Free Spiking Neural P Systems.
Spiking neural P systems (SN P systems) are a class of distributed parallel computing devices inspired from the way neurons communicate by means of spikes. In most applications of SN P systems, synchronization plays a key role which means the execution of a rule is completed in exactly one time unit (one step). However, such synchronization does not coincide with the biological fact: in biological nervous systems, the execution times of spiking rules cannot be known exactly. Therefore, a "realistic" system called time-free SN P systems were proposed, where the precise execution time of rules is removed. In this paper, we consider building arithmetical operation systems based on time-free SN P systems. Specifically, adder, subtracter, multiplier, and divider are constructed by using time-free SN P systems. The obtained systems always produce the same computation result independently from the execution time of the rules.
Xiangrong
X
Liu
Ziming
Z
Li
Juan
J
Liu
Logan
L
Liu
Xiangxiang
X
Zeng
D000200:Action Potentials / Q000502:physiology*; D008959:Models, Neurological; D016571:Neural Networks, Computer