Analog circuits for modeling biological neural networks:: Design and applications

被引:29
作者
Le Masson, S
Laflaquière, A
Bal, T
Le Masson, G
机构
[1] Univ Bordeaux 1, CNRS, Lab Microelect IXL, UMR 5818,ENSERB, F-33405 Talence, France
[2] CNRS, UPR 2212, Inst A Fessard, F-91198 Gif Sur Yvette, France
[3] INSERM, U378, Inst Neurosci F Magendie, F-33077 Bordeaux, France
关键词
analog circuits design; biological neurons; hybrid neural networks; neural modeling; stomatogastric ganglion; thalamus;
D O I
10.1109/10.764940
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
Computational neuroscience is emerging as a new approach in biological neural networks studies. In an attempt to contribute to this field, we present here a modeling work based on the implementation of biological neurons using specific analog integrated circuits. We first describe the mathematical basis of such models, then present analog emulations of different neurons, Each model is compared to its biological real counterpart as well as its numerical computation. Finally, we demonstrate the possible use of these analog models to interact dynamically with real cells through artificial synapses within hybrid networks. This method is currently used to explore neural networks dynamics.
引用
收藏
页码:638 / 645
页数:8
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