Spiking Neural P Systems with Anti-Spikes and without Annihilating Priority as Number Acceptors
نویسندگان
چکیده
Spiking neural P systems with anti-spikes (ASN P systems, for short) are a variant of spiking neural P systems, which are inspired by inhibitory impulses/spikes or inhibitory synapses. The typical feature of ASN P systems is when a neuron contains both spikes and anti-spikes, the spikes and anti-spikes will immediately annihilate each other in a maximal way. In this work, we consider a restricted variant of ASN P systems, called ASN P systems without annihilating priority, where the annihilating rule is used as standard rules, i.e., it is not obligatorily to use in the neuron associated with both spikes and anti-spikes. If the annihilating rule is used in a neuron, the annihilation will consume one time unit. As results, such systems using two categories of spiking rules (identified by (a, a) and (a, ā)) can achieve Turing completeness as number ac-
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Spiking neural P systems with anti-spikes and without annihilating priority working in a 'flip-flop' way
Spiking neural P systems with anti-spikes (shortly named ASN P systems) are a class of distributed and parallel neural-like computing systems. Besides spikes, neurons in ASN P systems can also contain a number of anti-spikes. Whenever spikes and anti-spikes meet in a neuron, they annihilate each other immediately in a maximal manner, that is, the annihilation has priority over neuron’s spiking....
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