Title :
Timed spiking neural P systems
Author :
Peng, Hong ; Wang, Jun ; Zhang, Gexiang ; Gheorghe, Marian
Author_Institution :
Sch. of Math. & Comput. Eng., Xihua Univ., Chengdu, China
Abstract :
In this paper, we present a new class of spiking neural P systems for handling temporal information and representing temporal knowledge, called timed spiking neural P systems. A new firing principle is introduced into the timed spiking neural P systems instead of original firing and delay mechanisms in spiking neural P systems. The timed spiking neural P systems can effectively represent both qualitative and quantitative temporal information.
Keywords :
knowledge representation; neural nets; spiking neural P systems; temporal information; temporal knowledge representation;
Conference_Titel :
Bio-Inspired Computing: Theories and Applications (BIC-TA), 2010 IEEE Fifth International Conference on
Conference_Location :
Changsha
Print_ISBN :
978-1-4244-6437-1
DOI :
10.1109/BICTA.2010.5645192