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234 651 (0,374s)

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Parallel Programming in Spiking Neural P Systems with Anti-Spikes

In spiking neural P systems with anti-spikes, integers can be represented as the number of spikes/anti-spikes present in a neuron. Thus it is possible to represent language that handles i...

IN - Informatika

  • 2014
  • Jx
Result

Sorting Using Spiking Neural P Systems with Anti-spikes and Rules on Synapses

This paper introduces and makes use of spiking neural P systems with anti-spikes and rules on synapses to sort integers. Here we discuss two types of sorting, bead sort and bitonic sort to sort integers....

IN - Informatika

  • 2015
  • D
  • Link
Result

On the Power of Families of Recognizer Spiking Neural P systems

The paper summarizes recent knowledge about computational power of spiking neural P systems and presents a sequence of new more general results. The concepts of recognizer SN P systems and of unif...

IN - Informatika

  • 2011
  • Jx
  • Link
Result

Spiking neural P systems: stronger normal forms

Spiking neural P systems are a computing device recently introduced as a bridge between spiking neural nets and membrane computing. In this paper we focus on normal forms of these systems...

IN - Informatika

  • 2009
  • Jx
Result

On the power of elementary features in spiking neural P systems

Spiking neural P systems are discrete computing models follows basic principles known from spiking neural nets. We study the power of their selected elementary features: the unbounded fan-in (inde...

IN - Informatika

  • 2008
  • Jx
Result

Normal forms for spiking neural P systems

In this paper we prove a series of normal forms for spiking neural P systems, concerning the regular expressions used in the firing rules, the delay between firing and spiking, the forgetting rules used, a...

IN - Informatika

  • 2007
  • Jx
Result

Solving the SAT problem using spiking neural P systems with coloured spikes and division rules

Spiking neural P systems (SNPS) are variants of the third-generation neural networks. In the last few decades, different variants of SNPS models have been introduced. In most of the SNPS models, spikes...

Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

  • 2024
  • Jimp
  • Link
Result

Spiking neural P systems: stronger normal forms

Spiking neural P system is a computing device recently introduced as a bridge between spiking neural nets and membrane computing. In this paper we focus on normal forms of these systems w...

IN - Informatika

  • 2007
  • D
Result

Polynomial time bounded computations in spiking neural P systems

of spiking neural (SN) P systems. We define complexity classes of\r\nuniform families of recognizer SN P systems with and without input, in a way which\r\nis standard in P, extending pre...

IN - Informatika

  • 2013
  • Jx
Result

Small Universal Spiking Neural P Systems with Cooperating Rules as Function Computing Devices.

The paper considers spiking neural P systems (SN P systems) with cooperating rules where each neuron has the same number of sets of rules, labelled identically fire. By using 59 neurons, a small u...

IN - Informatika

  • 2014
  • D
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