PROJECT TITLE :
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 impressed from the means neurons communicate by means of spikes. In most applications of SN P systems, synchronization plays a key role which means that the execution of a rule is completed in specifically just once unit (one step). However, such synchronization does not coincide with the biological fact: in biological nervous systems, the execution times of spiking rules can not be known exactly. Therefore, a “realistic” system known as time-free SN P systems were proposed, where the precise execution time of rules is removed. In this paper, we take into account building arithmetical operation systems based mostly on time-free SN P systems. Specifically, adder, subtracter, multiplier, and divider are constructed by using time-free SN P systems. The obtained systems perpetually manufacture the same computation result independently from the execution time of the rules.
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