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On string languages generated by spiking neural p systems with anti-spikes

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TLDR
These computing devices allow non-determinism between the rules ac → a and ac → ā, c ϵ ℕ, thus help to generate languages which cannot be generated using simple SN P systems.
Abstract
An Spiking Neural P system with anti-spikes uses two types of objects called spikes and anti-spikes which can encode binary digits in a natural way. The step when system emits a spike or an anti-spike is associated with symbol 1 and 0, respectively. Here we consider these computing devices as language generators. They allow non-determinism between the rules ac → a and ac → ā, c ϵ ℕ, thus help to generate languages which cannot be generated using simple SN P systems.

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Citations
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Journal ArticleDOI

Design of logic gates using spiking neural P systems with homogeneous neurons and astrocytes-like control

TL;DR: A novel method of constructing logic circuits that work in a neural-like manner is demonstrated, as well as shed some lights on potential directions of designing neural circuits theoretically.
Journal ArticleDOI

Spiking neural P systems with request rules

TL;DR: It is obtained that SN P systems with request rules are Turing universal, even with a small number of neurons, and with 47 neurons such systems can compute any Turing computable function.
Journal ArticleDOI

On the Universality and Non-Universality of Spiking Neural P Systems With Rules on Synapses

TL;DR: A Turing universal spiking neural P system with rules on synapses having 6 neurons is constructed, which can generate any set of Turing computable natural numbers.
Journal ArticleDOI

Spiking neural P systems with multiple channels and anti-spikes.

TL;DR: The Turing universality as number generating and accepting devices is proved at first, and then a universal SN P systems with multiple channels and anti-spikes for computing functions is investigated.
Journal ArticleDOI

An improved universal spiking neural P system with generalized use of rules

TL;DR: This work investigates the computational completeness of SNGR P systems and makes an improvement regarding to these related parameters, which provides an answer to the open problem mentioned in original work.
References
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Journal ArticleDOI

Characterizations of some classes of spiking neural P systems

TL;DR: This work analyzes asynchronous and sequential neural-like SN P systems and presents some conditions under which they become (non-)universal.
Journal ArticleDOI

On languages factorizing the free monoid

TL;DR: It is proved that it is decidable whether a regular language X is factorizing and the product is unambiguous and an automaton recognizing the corresponding language Y is constructed.
Proceedings ArticleDOI

Prime decompositions of regular prefix codes

TL;DR: In this article, a linear time algorithm is designed which finds the prime decomposition F1F2... Fk of a regular prefix code F given by its minimal deterministic automaton.
Journal ArticleDOI

Restricted sets of trajectories and decidability of shuffle decompositions

TL;DR: This work considers decompositions of regular languages with respect to shuffle along a regular set of trajectories and obtains positive decidability results for restricted classes of trajectory and establishes in the spirit of the Dassow-Hinz undecidability result an undecideability result for regular languages shuffled along a fixed linear context-free set of trajectoryories.
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