Spiking neural P systems are parallel and distributed computation devices which are inspired by the neuro-physiological behavior of biological neurons. In this paper we will present, with a tutorial approach, the main underlying ideas and the most interesting variants that have been proposed in the literature. In particular, we will discuss the results on the computational power of these models, both in terms of Turing completeness and of efficiency in solving hard problems, under different assumptions for information encoding, form and application of rules, and bounds on the main parameters defining the systems.

Leporati, A., Mauri, G., Zandron, C. (2022). Spiking neural P systems: main ideas and results. NATURAL COMPUTING [10.1007/s11047-022-09917-y].

Spiking neural P systems: main ideas and results

Leporati A.;Mauri G.
;
Zandron C.
2022

Abstract

Spiking neural P systems are parallel and distributed computation devices which are inspired by the neuro-physiological behavior of biological neurons. In this paper we will present, with a tutorial approach, the main underlying ideas and the most interesting variants that have been proposed in the literature. In particular, we will discuss the results on the computational power of these models, both in terms of Turing completeness and of efficiency in solving hard problems, under different assumptions for information encoding, form and application of rules, and bounds on the main parameters defining the systems.
No
Articolo in rivista - Articolo scientifico
Scientifica
membrane computing; spiking P systems
English
Leporati, A., Mauri, G., Zandron, C. (2022). Spiking neural P systems: main ideas and results. NATURAL COMPUTING [10.1007/s11047-022-09917-y].
Leporati, A; Mauri, G; Zandron, C
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/10281/392249
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