Artículo
Small universal simple spiking neural P systems with weights
Autor/es | Zeng, Xiangxiang
Pan, Linqiang Pérez Jiménez, Mario de Jesús |
Departamento | Universidad de Sevilla. Departamento de Ciencias de la Computación e Inteligencia Artificial |
Fecha de publicación | 2014 |
Fecha de depósito | 2021-07-21 |
Publicado en |
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Resumen | Spiking neural P systems with weights (WSN P systems, for short) are a new variant of spiking
neural P systems, where the rules of a neuron are enabled when the potential of that neuron equals a given value.
It is known ... Spiking neural P systems with weights (WSN P systems, for short) are a new variant of spiking neural P systems, where the rules of a neuron are enabled when the potential of that neuron equals a given value. It is known that WSN P systems are universal by simulating register machines. However, in these universal systems, no bound is considered on the number of neurons and rules. In this work, a restricted variant of WSN P systems is considered, called simple WSN P systems, where each neuron has only one rule. The complexity parameter, the number of neurons, to construct a universal simple WSN P system is investigated. It is proved that there is a universal simple WSN P system with 48 neurons for computing functions; as generator of sets of numbers, there is an almost simple (that is, each neuron has only one rule except that one neuron has two rules) and universal WSN P system with 45 neurons. |
Agencias financiadoras | Ministerio de Ciencia e Innovación (MICIN). España Junta de Andalucía |
Identificador del proyecto | TIN2009-13192
P08-TIC04200 |
Cita | Zeng, X., Pan, L. y Pérez Jiménez, M.d.J. (2014). Small universal simple spiking neural P systems with weights. Science China Information Sciences, 57 (9), 1-11. |
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