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Spiking Neural P Systems with Delay on Synapses.

Xiaoxiao Song1, Luis Valencia-Cabrera2, Hong Peng3

  • 1School of Electrical Engineering and Electronic Information and Key Laboratory of Fluid and Power Machinery, Ministry of Education, Xihua University, Chengdu, Sichuan 610039, P. R. China.

International Journal of Neural Systems
|July 24, 2020
PubMed
Summary
This summary is machine-generated.

Spiking neural P systems with delays (SNP-DS systems) were developed, mimicking neural communication with transmission delays. These systems are proven universal for number generation and function computation.

Keywords:
Membrane computingdelay on synapsesspiking neural P systemsuniversality

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Area of Science:

  • Computational Neuroscience
  • Theoretical Computer Science
  • Biologically Inspired Computing

Background:

  • Spiking neural P systems (SN P systems) are powerful computing models inspired by biological neural systems.
  • Traditional SN P systems lack the temporal dynamics of synaptic transmission, such as signal delays.

Purpose of the Study:

  • To introduce spiking neural P systems with delays on synapses (SNP-DS systems) to better model neural communication.
  • To investigate the computational universality and practical application of these novel SNP-DS systems.

Main Methods:

  • Development of SNP-DS systems incorporating synaptic delay mechanisms.
  • Theoretical proof of universality for SNP-DS systems as number generators.
  • Construction of small universal SNP-DS systems for function computation.
  • Implementation of a simulator for experimental validation.

Main Results:

  • SNP-DS systems demonstrate universality in generating numbers.
  • Two universal SNP-DS systems were constructed, one with 56 neurons and another with 36 neurons, capable of function computation.
  • A simulator confirmed the correctness and validated the universality of the designed SNP-DS systems.

Conclusions:

  • SNP-DS systems offer a more biologically plausible model for neural computation by incorporating synaptic delays.
  • The universality of SNP-DS systems is experimentally validated, highlighting their potential as a computational framework.