Interaction between Different Cells in Olfactory Bulb and Synchronous Kinematic Analysis | Zendy

Ailei Xu | Zendy; Ying Du | Zendy; Rubin Wang | Zendy; Jinde Cao | Zendy

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Interaction between Different Cells in Olfactory Bulb and Synchronous Kinematic Analysis

Author(s) -

Ailei Xu,

Ying Du,

Rubin Wang,

Jinde Cao

Publication year - 2014

Publication title -

discrete dynamics in nature and society

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.264

H-Index - 39

eISSN - 1607-887X

pISSN - 1026-0226

DOI - 10.1155/2014/808792

Subject(s) - olfactory bulb , inhibitory postsynaptic potential , olfactory system , excitatory postsynaptic potential , neuroscience , computer science , synchronization (alternating current) , granule (geology) , granule cell , oscillation (cell signaling) , set (abstract data type) , biological system , kinematics , biology , physics , central nervous system , computer network , paleontology , channel (broadcasting) , dentate gyrus , genetics , programming language , classical mechanics

Olfactory bulb plays an important part in signal encoding of olfactory system. The interaction between excitatory mitral cell (MC) and inhibitory granule cell (GC) is particularly crucial. In this paper, the current situation of synchronous oscillation in the network of olfactory system is firstly introduced. Then we set up a dynamical model of MC and GC in the olfactory bulb. The simulation shows the firing patterns of single MC and single GC, as well as these two kinds of cells having a coupling relationship. The results indicate that MCs have an excitatory effect on GCs, and GCs have an inhibitory effect on MCs. The firing pattern varies with different synaptic strength. In addition, we set up simple olfactory network models, discussing the influence of ring-like and grid-like neuronal networks of GCs on the synchronization of two MCs. Different types of firing synchronization are quantified by means of ISI-distance method. The numerical analysis indicates that grid-like neuronal network can make MCs synchronize better

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