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  • 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 uniform families of SN P systems provide a formal framework for this study. We establish the relation of computational power of spiking neural P systems with various limitations to standard complexity classes like P, NP, PSPACE and P/poly.
  • 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 uniform families of SN P systems provide a formal framework for this study. We establish the relation of computational power of spiking neural P systems with various limitations to standard complexity classes like P, NP, PSPACE and P/poly. (en)
Title
  • On the Power of Families of Recognizer Spiking Neural P systems
  • On the Power of Families of Recognizer Spiking Neural P systems (en)
skos:prefLabel
  • On the Power of Families of Recognizer Spiking Neural P systems
  • On the Power of Families of Recognizer Spiking Neural P systems (en)
skos:notation
  • RIV/47813059:19240/11:#0003703!RIV12-MSM-19240___
http://linked.open...avai/riv/aktivita
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  • S
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  • 1
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  • 218260
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  • RIV/47813059:19240/11:#0003703
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  • P system; spiking neural P system; computational complexity (en)
http://linked.open.../riv/klicoveSlovo
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  • SG - Singapurská republika
http://linked.open...ontrolniKodProRIV
  • [F0A10B878526]
http://linked.open...i/riv/nazevZdroje
  • Journal of Foundations of Computer Science
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  • 22
http://linked.open...iv/tvurceVysledku
  • Sosík, Petr
  • Cienciala, Luděk
http://linked.open...ain/vavai/riv/wos
  • 000286612200007
issn
  • 0129-0541
number of pages
http://bibframe.org/vocab/doi
  • 10.1142/S0129054111007848
http://localhost/t...ganizacniJednotka
  • 19240
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