基于忆阻器的视觉模式识别神经形态电路

2015 International Conference on Memristive Systems (MEMRISYS) Pub Date : 2015-11-01 DOI:10.1109/MEMRISYS.2015.7378387

P. Lorenzi, V. Sucre, G. Romano, R. Rao, F. Irrera

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引用次数: 5

摘要

在这项工作中，提出了一个简单的网络，由第一层25个感觉神经元层和第二层10个输出神经元层组成，由250个忆阻突触连接。在PSPICE中对该系统进行了仿真，以实现对5X5像素二值图像的识别。

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Memristor based neuromorphic circuit for visual pattern recognition

In this work a simple network composed by a first 25 sensory neurons layer and a second 10 output neuron layer connected by 250 memristor synapses is proposed. The system was simulated in PSPICE in order to recognize 5X5 pixel binary images.

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2015 International Conference on Memristive Systems (MEMRISYS)

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