A conductance-based silicon neuron with dynamically tunable model parameters

被引：0
|
作者：
Saïghi, S [1 ]
Tomas, J [1 ]
Bornat, Y [1 ]
Renaud, S [1 ]
机构：
[1] Univ Bordeaux 1, IXL Lab, UMR 5818, CNRS,ENSEIRB, F-33405 Talence, France
来源：
2005 2ND INTERNATINOAL IEEE/EMBS CONFERENCE ON NEURAL ENGINEERING | 2005年
关键词：
aVLSI circuits; neuromimetic devices; Hodgkin-Huxley; silicon neuron;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper presents an analog neuromimetic ASIC. It integrates Hodgkin-Huxley (HH) model types, computed in real-time and in analog continuous mode. We developed a library of sub-circuits calculating the elementary mathematical functions encountered in the HH models. Those sub-circuits are organized to form the model set of equations, in which all numerical parameters are dynamically tunable via a mixed analog-digital interface. Neural activity examples are presented to validate the library elements and illustrate the diversity of models simulated by a single ASIC.
引用
收藏
页码：285 / 288
页数：4
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