Book ChapterDOI
Spiking Neural P Systems with Cooperating Rules
Venkata Padmavati Metta,Srinivasan Raghuraman,Kamala Krithivasan +2 more
- pp 314-329
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TLDR
This paper considers the terminating mode, in which the switching occurs when no rule is enabled in the active component of any neuron in the system, and investigates the computational power of asynchronous and sequential SN P systems with standard rules.Abstract:
The concept of cooperation and distribution as known from grammar systems is introduced to spiking neural P systems (in short, SN P systems) in which each neuron has a finite number of sets (called components) of rules. During computations, at each step only one of the components can be active for the whole system and one of the enabled rules from this active component of each neuron fires. The switching between the components occurs under different cooperation strategies. This paper considers the terminating mode, in which the switching occurs when no rule is enabled in the active component of any neuron in the system. By introducing this new mechanism, the computational power of asynchronous and sequential SN P systems with standard rules is investigated. The results are that asynchronous standard SN P systems with two components and strongly sequential unbounded SN P systems with two components are Turing complete.read more
Citations
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Journal Article
On spiking neural P systems and partially blind counter machines
TL;DR: Characterizations of sets definable by partially blind multicounter machines in terms of k-output SNPs operating in a sequential mode are given and slight variations of the models make them universal.
Journal ArticleDOI
Homogeneous spiking neural P systems with structural plasticity
Ren Tristan A. de la Cruz,Francis George C. Cabarle,Ivan Cedric H. Macababayao,Henry N. Adorna,Xiangxiang Zeng +4 more
TL;DR: In this article, a universal SNPSP system with structural plasticity was proposed, where all the neurons in the system use the same set of rules and the behavior of a neuron can be "programmed" by giving it a set of different rules.
Journal ArticleDOI
Computation power of asynchronous spiking neural P systems with polarizations
TL;DR: It is proved that asynchronous PSN P systems with extended rules (the application of a rule can produce more than one spikes) or standard rules (all rules can only produce a spike) can both characterize partially blind counter machines, hence, such systems are not Turing universal.
Book ChapterDOI
Small Universal Spiking Neural P Systems with Cooperating Rules as Function Computing Devices
TL;DR: By using 59 neurons, a small universal SN P system with two components, working in the terminating mode, is constructed for computing functions.
References
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Journal ArticleDOI
On spiking neural P systems and partially blind counter machines
TL;DR: In this article, a k-output spiking neural P system (SNP) with output neurons was defined for partially blind multicounter machines and characterizations of sets definable by partially blind multi-counter machines in terms of K-output SNPs operating in a sequential mode.
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