{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,18]],"date-time":"2025-12-18T19:58:13Z","timestamp":1766087893199,"version":"3.41.2"},"reference-count":44,"publisher":"World Scientific Pub Co Pte Ltd","issue":"08","funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"crossref","award":["62002251","62172171"],"award-info":[{"award-number":["62002251","62172171"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100004608","name":"Natural Science Foundation of Jiangsu Province","doi-asserted-by":"crossref","award":["BK20200856"],"award-info":[{"award-number":["BK20200856"]}],"id":[{"id":"10.13039\/501100004608","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Neur. Syst."],"published-print":{"date-parts":[[2022,8]]},"abstract":"<jats:p> Spiking neural P systems (abbreviated as SNP systems) are models of computation that mimic the behavior of biological neurons. The spiking neural P systems with communication on request (abbreviated as SNQP systems) are a recently developed class of SNP system, where a neuron actively requests spikes from the neighboring neurons instead of passively receiving spikes. It is already known that small SNQP systems, with four unbounded neurons, can achieve Turing universality. In this context, \u2018unbounded\u2019 means that the number of spikes in a neuron is not capped. This work investigates the dependency of the number of unbounded neurons on the computation capability of SNQP systems. Specifically, we prove that (1) SNQP systems composed entirely of bounded neurons can characterize the family of finite sets of numbers; (2) SNQP systems containing two unbounded neurons are capable of generating the family of semilinear sets of numbers; (3) SNQP systems containing three unbounded neurons are capable of generating nonsemilinear sets of numbers. Moreover, it is obtained in a constructive way that SNQP systems with two unbounded neurons compute the operations of Boolean logic gates, i.e., OR, AND, NOT, and XOR gates. These theoretical findings demonstrate that the number of unbounded neurons is a key parameter that influences the computation capability of SNQP systems. <\/jats:p>","DOI":"10.1142\/s012906572250037x","type":"journal-article","created":{"date-parts":[[2022,6,8]],"date-time":"2022-06-08T09:34:10Z","timestamp":1654680850000},"source":"Crossref","is-referenced-by-count":27,"title":["On the Tuning of the Computation Capability of Spiking Neural Membrane Systems with Communication on Request"],"prefix":"10.1142","volume":"32","author":[{"given":"Tingfang","family":"Wu","sequence":"first","affiliation":[{"name":"School of Computer Science and Technology, Soochow University, Suzhou 215006, P. R. China"}]},{"given":"Ferrante","family":"Neri","sequence":"additional","affiliation":[{"name":"NICE Research Group, Department of Computer Science, University of Surrey, Stag Hill, University Campus, Guildford GU2 7XH, UK"}]},{"given":"Linqiang","family":"Pan","sequence":"additional","affiliation":[{"name":"Key Laboratory of Image Information, Processing and Intelligent Control of Education, Ministry of China, P. R. China"},{"name":"School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan 430074, P. R. 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