基于简化视觉皮层模型的数字识别

2013 IEEE INISTA Pub Date : 2013-06-19 DOI:10.1109/INISTA.2013.6577635

I. C. Cevikbas, T. Yıldırım

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引用次数: 1

摘要

本文建立了一个简化的视觉皮层模型，并探讨了该模型在数字检测中的应用。视网膜和外侧膝状核(LGN)被建模为一个组合64×64输入细胞阵列。应用的数字模式在视网膜- lgn组合细胞阵列的输出端产生泊松尖峰。视网膜- lgn细胞与初级视觉皮层(V1)细胞网络相连。应用于输入的任何数字的尖峰率模式用于数字检测。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Digit recognition in a simplified visual cortex model

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 64×64 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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2013 IEEE INISTA

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