The timed spiking neural P systems can effectively represent both qualitative and quantitative temporal information. Published in: 2010 IEEE Fifth International ...
The timed spiking neural P systems can effectively represent both qualitative and quantitative temporal information. I. INTRODUCTION. Spiking neural P systems ( ...
Aug 18, 2022 · Spiking neural P systems are parallel and distributed computation devices which are inspired by the neuro-physiological behavior of biological neurons.
In order to establish robust systems against the environmental factors, a special class of SN P systems, called time-free SN P systems, is introduced, which ...
Jun 10, 2016 · It is proved that SN P systems with self-organization are capable of computing and accept the family of sets of Turing computable natural numbers.
In order to establish robust systems against the environmental factors, a special class of SN P systems, called time-free SN P systems, is introduced, which ...
This study focused on how to use the two features of NSNP systems to develop a novel model for time series classification tasks.
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May 1, 2011 · A time-free SN P system is one that always produces the same computation result, independent of the execution times of the rules. The ...
Mar 22, 2019 · Spiking neural P systems simulate the biological phenomena that the neurons cooperate to deal with spikes via synapses.
Apr 1, 2024 · Spiking neural P systems (SNP systems) are a class of distributed parallel and interpretable computing models developed in recent years, ...