Journal
JOURNAL OF COMPUTATIONAL AND THEORETICAL NANOSCIENCE
Volume 10, Issue 4, Pages 999-1006Publisher
AMER SCIENTIFIC PUBLISHERS
DOI: 10.1166/jctn.2013.2799
Keywords
Membrane Computing; Spiking Neural P System; Universality; Register Machine
Categories
Funding
- National Natural Science Foundation of China [61202011, 61033003, 91130034, 30870826]
- Ph.D. Programs Foundation of Ministry of Education of China [20100142110072]
- Fundamental Research Funds for the Central Universities [2010ZD001, 2010MS003]
- National Science Foundation of Hubei Province [2008CDB113, 2011CDA027]
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Spiking neural P systems are a class of distributed parallel computing devices inspired from the way neurons communicate by means of spikes. A spiking neural P system with anti-spikes is a variant of spiking neural P system, which is inspired by inhibitory impulses/spikes or inhibitory synapses. In this work, we investigate the necessary resource (specifically, the number of neurons) to construct universal spiking neural P systems with anti-spikes (that is, the systems can do what Turing machine do). It is proved that there exists a universal spiking neural P system with anti-spikes having 75 neurons and a universal spiking neural P system with anti-spikes having inhibitory synapses that consists of 70 neurons. The results show that spiking neural P system with anti-spikes having small number of neurons can have Turing creativity.
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