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Cortical Neural P Systems

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Bio-Inspired Computing: Theories and Applications (BIC-TA 2020)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1363))

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Abstract

P systems are distributed and parallel computing models inspired from living cells. In this work, a variant of spiking neural P systems, cortical neural P systems, are proposed in the frame work of P systems combining the topology structure of basic P system and information processing style in spiking neurons. The computational power of cortical neural P systems is investigated. It is proved that cortical neural P systems are equivalent to Turing machines as number generators.

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Authors and Affiliations

  1. Key Laboratory of Image Processing and Intelligent Control of Education Ministry of China, School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, 430074, China

    Zhongzheng Fu & Luping Zhang

Authors
  1. Zhongzheng Fu
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  2. Luping Zhang
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Correspondence to Luping Zhang .

Editor information

Editors and Affiliations

  1. Huazhong University of Science and Technology, Wuhan, China

    Linqiang Pan

  2. China University of Petroleum, Qingdao, China

    Shangchen Pang

  3. China University of Petroleum, Qingdao, China

    Tao Song

  4. China University of Petroleum, Qingdao, China

    Faming Gong

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Fu, Z., Zhang, L. (2021). Cortical Neural P Systems. In: Pan, L., Pang, S., Song, T., Gong, F. (eds) Bio-Inspired Computing: Theories and Applications. BIC-TA 2020. Communications in Computer and Information Science, vol 1363. Springer, Singapore. https://doi.org/10.1007/978-981-16-1354-8_43

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  • DOI: https://doi.org/10.1007/978-981-16-1354-8_43

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-16-1353-1

  • Online ISBN: 978-981-16-1354-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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