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Computability Of Spiking Neural P Systems With Anti-Spikes

Author

Listed:
  • 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)

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.

Suggested Citation

  • Venkata Padmavati Metta & Kamala Krithivasan & Deepak Garg, 2012. "Computability Of Spiking Neural P Systems With Anti-Spikes," New Mathematics and Natural Computation (NMNC), World Scientific Publishing Co. Pte. Ltd., vol. 8(03), pages 283-295.
    • Handle: RePEc:wsi:nmncxx:v:08:y:2012:i:03:n:s1793005712500032
    DOI: 10.1142/S1793005712500032
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