Spiking neural P systems with weights and thresholds | Research Group on Natural Computing

Title	Spiking neural P systems with weights and thresholds
Publication Type	Conference Contributions
Year of Publication	2009
Authors	Wang, J., Hoogeboom H. J., Pan L., & Paun G.
Editors	Paun, G., Pérez-Jiménez M. J., & Riscos-Núñez A.
Conference Name	10th Workshop on Membrane Computing
Publisher	Marpapublicidad
Place Published	Curtea de Arges, Rumania
Pages	514-533
Date Published	24-27/08/2009
Abstract	A variant of spiking neural P systems is introduced, with (positive or nega- tive) weights on synapses and with the restriction that the rules of a neuron fires when the potential of that neuron equals a given threshold. The involved numbers - weights, thresholds, potential consumed by each rule - can be real (computable) numbers, ratio- nal, integer, natural numbers. The power of the obtained systems is investigated. For instance, it is shown that integer numbers (very restricted: 1;-1 for weights, 1 and 2 for thresholds and for writing the rules) suffice in order to compute all Turing computable sets of numbers, both in the generative and the accepting modes. Using only natural numbers we characterize the family of semilinear sets of numbers. Some open problems and suggestions for further research are formulated.
URL	http://www.gcn.us.es/?q=procwmc10