Digit Recognition in a Simplified Visual Cortex Model

被引：0
|
作者：
Cevikbas, I. Can [1 ]
Yildirim, Tulay [1 ]
机构：
[1] Yildiz Tekn Univ, Elect & Commun Engn Dept, Istanbul, Turkey
来源：
2013 IEEE INTERNATIONAL SYMPOSIUM ON INNOVATIONS IN INTELLIGENT SYSTEMS AND APPLICATIONS (IEEE INISTA) | 2013年
关键词：
spiking neural network; digit recognition; primary visual cortex; ORIENTATION SELECTIVITY; COMPUTATION; CAT;
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：
In this paper a simplified visual cortex model is developed and application of the model to digit detection is explored. Retina and Lateral Geniculate Nucleus (LGN) is modeled as a combined 64x64 input cell array. An applied digit pattern produces Poisson spikes at the output of the combined retina-LGN cell array. Retina-LGN cells are connected to primary visual cortex (V1) cell network. Spike rate pattern of any digit applied to the input is used in digit detection.
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页数：3
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