Analog implementation for networks of integrate-and-fire neurons with adaptive local connectivity

J. Schreiter, U. Ramacher, A. Heittmann, D. Matolin, R. Schüffny
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引用次数: 10

Abstract

An analog VLSI implementation for pulse coupled neural networks of leakage free integrate-and-fire neurons with adaptive connections is presented. Weight adaptation is based on existing adaptation rules for image segmentation. Although both integrate-and-fire neurons and adaptive weights can be implementation only approximately, simulations have shown, that synchronization properties of the original adaptation rules are preserved.
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具有自适应局部连通性的整合-激发神经元网络的模拟实现
提出了一种具有自适应连接的无泄漏积分-火神经元脉冲耦合神经网络的模拟VLSI实现方法。权重自适应是基于已有的图像分割自适应规则。尽管积分-激活神经元和自适应权值都只能近似地实现,但仿真结果表明,原始自适应规则的同步特性得到了保留。
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