SNPT Systems Working in Global Asynchronous and Local Synchronous Mode
Spiking neural P systems with thresholds(SNPT systems) are a class of bio-inspired computing models,inspired by the association between the potential changes in neurons and the neural activities.It is proved that SNPT systems working in the maximally parallel mode are computationally universal since...
| Main Author: | |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
Editorial office of Computer Science
2023-01-01
|
| Series: | Jisuanji kexue |
| Subjects: | |
| Online Access: | https://www.jsjkx.com/fileup/1002-137X/PDF/1002-137X-2023-50-1-270.pdf |
| _version_ | 1797845140295909376 |
|---|---|
| author | ZHANG Luping, XU Fei |
| author_facet | ZHANG Luping, XU Fei |
| author_sort | ZHANG Luping, XU Fei |
| collection | DOAJ |
| description | Spiking neural P systems with thresholds(SNPT systems) are a class of bio-inspired computing models,inspired by the association between the potential changes in neurons and the neural activities.It is proved that SNPT systems working in the maximally parallel mode are computationally universal since they can achieve the equivalent computation power with Turing machines as number generators and acceptors.The computing power of SNPT systems working in other modes is a topic of concern.In this work,we investigate the number generating power of SNPT systems working in the global asynchronous and local synchronous way(ASNP<sub>locsyn</sub>T systems).It is proved that ASNP<sub>locsyn</sub>T systems with integer weights are universal,and ASNP<sub>locsyn</sub>T systems with positive-integer weights can only generate the semilinear sets of numbers.The results show that the range of synaptic weights affects the computation power of ASNP<sub>locsyn</sub>T systems. |
| first_indexed | 2024-04-09T17:33:46Z |
| format | Article |
| id | doaj.art-8943d874acee43e6b9442f392fcf4cce |
| institution | Directory Open Access Journal |
| issn | 1002-137X |
| language | zho |
| last_indexed | 2024-04-09T17:33:46Z |
| publishDate | 2023-01-01 |
| publisher | Editorial office of Computer Science |
| record_format | Article |
| series | Jisuanji kexue |
| spelling | doaj.art-8943d874acee43e6b9442f392fcf4cce2023-04-18T02:33:09ZzhoEditorial office of Computer ScienceJisuanji kexue1002-137X2023-01-0150127027510.11896/jsjkx.211100091SNPT Systems Working in Global Asynchronous and Local Synchronous ModeZHANG Luping, XU Fei0Key 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,ChinaSpiking neural P systems with thresholds(SNPT systems) are a class of bio-inspired computing models,inspired by the association between the potential changes in neurons and the neural activities.It is proved that SNPT systems working in the maximally parallel mode are computationally universal since they can achieve the equivalent computation power with Turing machines as number generators and acceptors.The computing power of SNPT systems working in other modes is a topic of concern.In this work,we investigate the number generating power of SNPT systems working in the global asynchronous and local synchronous way(ASNP<sub>locsyn</sub>T systems).It is proved that ASNP<sub>locsyn</sub>T systems with integer weights are universal,and ASNP<sub>locsyn</sub>T systems with positive-integer weights can only generate the semilinear sets of numbers.The results show that the range of synaptic weights affects the computation power of ASNP<sub>locsyn</sub>T systems.https://www.jsjkx.com/fileup/1002-137X/PDF/1002-137X-2023-50-1-270.pdfbio-inspired computing| spiking neural p system|global asynchronization|local synchronization| computation power |
| spellingShingle | ZHANG Luping, XU Fei SNPT Systems Working in Global Asynchronous and Local Synchronous Mode Jisuanji kexue bio-inspired computing| spiking neural p system|global asynchronization|local synchronization| computation power |
| title | SNPT Systems Working in Global Asynchronous and Local Synchronous Mode |
| title_full | SNPT Systems Working in Global Asynchronous and Local Synchronous Mode |
| title_fullStr | SNPT Systems Working in Global Asynchronous and Local Synchronous Mode |
| title_full_unstemmed | SNPT Systems Working in Global Asynchronous and Local Synchronous Mode |
| title_short | SNPT Systems Working in Global Asynchronous and Local Synchronous Mode |
| title_sort | snpt systems working in global asynchronous and local synchronous mode |
| topic | bio-inspired computing| spiking neural p system|global asynchronization|local synchronization| computation power |
| url | https://www.jsjkx.com/fileup/1002-137X/PDF/1002-137X-2023-50-1-270.pdf |
| work_keys_str_mv | AT zhanglupingxufei snptsystemsworkinginglobalasynchronousandlocalsynchronousmode |