Title :
A new olfactory receptor model based on chaos
Author :
Wang, Xing ; Zhang, Jin ; Wang, Rulong
Author_Institution :
Software Sch., Hunan Univ., Changsha, China
Abstract :
A new olfactory receptor model based on chaos is proposed in this paper. Simulating real olfactory receptor, the new olfactory receptor model is in a chaotic state as the basic state when there is no stimulus. It can be in active state when there is stimulus. Compared with K0 model, Gaussian noise is no need to the new model, which simplifies the olfactory nervous system model. Experimental results show that the proposed olfactory receptor model can change between chaotic and non-chaotic states according to the input, which is also consonant with the real olfactory neuron.
Keywords :
chaos; chemioception; neural nets; neurophysiology; Gaussian noise; chaos; chaotic state; olfactory nervous system model; olfactory neuron; olfactory receptor model; Chaos; Neurons; Noise; Olfactory; K0 model; chaos; olfactory receptor;
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.2010.5645246
