Title :
Synthesis of models for receptive field dynamics and synaptic transmission using spiking neurons
Author :
Georgiev, George ; Tchimev, Plamen
Author_Institution :
Dept. of Comput. Sci., Wisconsin Univ., Oshkosh, WI, USA
Abstract :
The aim of this paper is to show the way in which the odor is represented, and how the receptors would react to samples of odors. Sequence of spikes generated by a neuron is completely characterized by the neural response function. Spiking models involve dynamics over time scales ranging from channel openings that can take less than a millisecond, to collective neural network processes that may be several orders of magnitude slower. The tuning specification between the mitral and tufted cells and their glomeruli plays a vital role in mitral and tufted cell´s spike response to a particular odor. The experiments indicate that a single mitral /tufted cell show excitatory spike response to a range of odor molecules with similar molecular configuration. The behavior of the receptor cells in response to the simulated odors is close to the actual biological behavior of the receptors present in the olfactory epithelium.
Keywords :
chemioception; neural nets; neurophysiology; physiological models; biological behavior; collective neural network processes; neural response function; olfaction; olfactory epithelium; receptive field dynamics; single mitral cell; single tufted cell; spike response; spiking neurons; synaptic transmission; time scales ranging; Anatomy; Biological system modeling; Cells (biology); Character generation; Clouds; Computer science; Nerve fibers; Neurons; Neurotransmitters; Olfactory;
Conference_Titel :
Systems, Man and Cybernetics, 2003. IEEE International Conference on
Print_ISBN :
0-7803-7952-7
DOI :
10.1109/ICSMC.2003.1244321