深度脉冲神经网络下的渐进串联学习模式识别 一种基于深度脉冲神经网络的渐进串联学习模式识别方法,它可以在处理高维、复杂数据时实现更高的准确度。通过在神经元之间建立层次性的连接,该系统可以逐步地学习并提取出数据中的最重要特征。这种方法特别适用于处理视觉和语音识别等领域的数据。论文原文请参考《Progressive Tandem Learning
Cognitive Computing Programming Paradigm Composing.Networks of Neurosynaptic Cores This IEEE paper introduces Corelet, a language for composing networks of neurosynaptic cores in cognitive computing programming. The paper discusses t
A Tandem Learning Rule for Effective Training and Rapid Inferenc A Tandem Learning Rule for Effective Training and Rapid Inference of Deep Spiking Neural Networks论文原文