COMPUTABILITY OF SPIKING NEURAL P SYSTEMS WITH ANTI-SPIKES
Venkata Padmavati Metta (),
Kamala Krithivasan () and
Deepak Garg ()
Additional contact information
Venkata Padmavati Metta: Department of Computer Applications, Bhilai Institute of Technology, Durg, Chhattisgarh, India
Kamala Krithivasan: Department of Computer Science and Engg., Indian Institute of Technology, Chennai, Tamilnadu, India
Deepak Garg: Department of Computer Science and Engg., Thapar University, Patiala, Punjab, India
New Mathematics and Natural Computation (NMNC), 2012, vol. 08, issue 03, 283-295
Abstract:
Spiking neural P systems with anti-spikes (for short, SN PA systems) can encode the binary digits in a natural way using two types of objects called anti-spikes and spikes. In this paper, we use SN PA systems to perform the arithmetic operation like 2's complement, addition and subtraction of binary numbers. They are also used to simulate NAND and NOR gates.
Keywords: Spiking neural P system with anti-spikes; simulation (search for similar items in EconPapers)
Date: 2012
References: View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.worldscientific.com/doi/abs/10.1142/S1793005712500032
Access to full text is restricted to subscribers
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:wsi:nmncxx:v:08:y:2012:i:03:n:s1793005712500032
Ordering information: This journal article can be ordered from
DOI: 10.1142/S1793005712500032
Access Statistics for this article
New Mathematics and Natural Computation (NMNC) is currently edited by Paul P Wang
More articles in New Mathematics and Natural Computation (NMNC) from World Scientific Publishing Co. Pte. Ltd.
Bibliographic data for series maintained by Tai Tone Lim ().