Title :
Neurodynamic approach to odor processing
Author :
Érdi, P. ; Barna, G.
Author_Institution :
Central Res. Inst. for Phys., Hungarian Acad. of Sci., Budapest, Hungary
Abstract :
A mathematical model is presented to describe odor information processing in the olfactory bulb. The olfactory system shows a remarkable periodic activity, and the concept of `learning of periodicity´ is suggested to be an important element of odor discrimination. It is suggested that a two-level neurodynamic approach considering both single neuron dynamics and synaptic modifiability seems to be a proper framework to explain rhythmic bulbar activity, transitions from different dynamic regimes, and discrimination and learning phenomena. Odor learning is strongly associated with some characteristics of mitral cell activity oscillations
Keywords :
chemioception; neurophysiology; physiological models; learning phenomena; mathematical model; mitral cell activity oscillations; neurophysiology; odor discrimination; odor information processing; olfactory bulb; physiological models; rhythmic bulbar activity; single neuron dynamics; synaptic modifiability; two-level neurodynamic approach; Biological system modeling; Brain modeling; Chaos; Information processing; Mathematical model; Neurodynamics; Olfactory; Physics; Relays; Switches;
Conference_Titel :
Neural Networks, 1991., IJCNN-91-Seattle International Joint Conference on
Conference_Location :
Seattle, WA
Print_ISBN :
0-7803-0164-1
DOI :
10.1109/IJCNN.1991.155413