Simplified Visual Cortex Model for Pattern Recognition

被引：0
|
作者：
Cevikbas, Can [1 ]
Yildirim, Tulay [1 ]
机构：
[1] Yildiz Tech Univ, Elect & Commun Engn, Istanbul, Turkey
来源：
2018 INNOVATIONS IN INTELLIGENT SYSTEMS AND APPLICATIONS CONFERENCE (ASYU) | 2018年
关键词：
Pattern recognition; visual cortex; neuron; Spike Timing Dependent Plasticity; CONNECTIONS;
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：
A simplified primary cortex model is developed that can be used in pattern recognition. There are 1024 excitatory, 256 inhibitory cells. Integrate and Fire neuron model is chosen in the simulations. Each cell in the model may have three type of sources for input; sensory, connection and a constant background. Spike Timing Dependent Plasticity (STDP) is incorporated to change connection coefficient of two connected cells.
引用
收藏
页码：183 / 186
页数：4
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