Multicompartmental modeling of neural circuits in the olfactory bulb

被引:3
作者
Aradi, I
Erdi, P
机构
[1] HUNGARIAN ACAD SCI, KFKI RES INST PARTICLE & NUCL PHYS, DEPT BIOPHYS, H-1525 BUDAPEST, HUNGARY
[2] EOTVOS LORAND UNIV, DEPT COMPARAT PHYSIOL, H-1088 BUDAPEST, HUNGARY
关键词
D O I
10.1142/S0129065796000506
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The generation and propagation of action potentials in the excitatory and inhibitory cell types of the olfactory bulb are simulated by applying multi-compartmental modeling technique. Detailed models of the main cell types of the olfactory bulb have been presented previously.(1) Further simulations on granule and periglomerular cells have been done to find proper parameters matching to the physiological recordings.(22) Elementary synaptic interactions and dynamic behaviour of small networks of excitatory and inhibitory neurons have been studied. To investigate the relationship between the anatomical structure of the neural circuits of whole olfactory bulb and the generated firing patterns, further series of simulations have been done.
引用
收藏
页码:519 / 527
页数:9
相关论文
共 24 条
[1]   CHAOS AND LEARNING IN THE OLFACTORY-BULB [J].
ARADI, I ;
BARNA, G ;
ERDI, P ;
GROBLER, T .
INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS, 1995, 10 (01) :89-117
[2]  
ARADI I, IN PRESS COMP MATH A
[3]   EXPLORING PARAMETER SPACE IN DETAILED SINGLE NEURON MODELS - SIMULATIONS OF THE MITRAL AND GRANULE CELLS OF THE OLFACTORY-BULB [J].
BHALLA, US ;
BOWER, JM .
JOURNAL OF NEUROPHYSIOLOGY, 1993, 69 (06) :1948-1965
[4]   GABAERGIC CONTROL OF ODOR-INDUCED ACTIVITY IN THE FROG OLFACTORY-BULB - POSSIBLE GABAERGIC MODULATION OF GRANULE CELL INHIBITORY-ACTION [J].
DUCHAMPVIRET, P ;
DUCHAMP, A .
NEUROSCIENCE, 1993, 56 (04) :905-914
[5]   DYNAMICS OF THE OLFACTORY-BULB - BIFURCATIONS, LEARNING, AND MEMORY [J].
ERDI, P ;
GROBLER, T ;
BARNA, G ;
KASKI, K .
BIOLOGICAL CYBERNETICS, 1993, 69 (01) :57-66
[6]  
ERDI P, BIOSYS
[7]  
HALASZ N, 1990, VERTABRATE OLFACTORY
[8]  
HALASZ N, 1990, CHEMOSENSORY INFORMA
[9]  
Hille B., 1992, IONIC CHANNELS EXCIT
[10]  
HINES M, 1993, NEURAL NETWORK SIMUL