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Pattern Classification by Spiking Neural Networks Combining Self-Organized and Reward-Related Spike-Timing-Dependent Plasticity

机译：通过尖刺神经网络进行模式分类，结合自组织和奖励相关的穗定时依赖性可塑性

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Sou Nobukawa; Haruhiko Nishimura; Teruya Yamanishi;
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年度 2019
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1. Spike-timing-dependent plasticity and short-term plasticity jointly control the excitation of Hebbian plasticity without weight constraints in neural networks [J] . Computational intelligence and neuroscience . 2012,第Null期

机译：依赖于尖峰时间的可塑性和短期可塑性共同控制了Hebbian可塑性的激发而无神经网络中的重量限制
2. Spike-Timing-Dependent Plasticity and Short-Term Plasticity Jointly Control the Excitation of Hebbian Plasticity withoutWeight Constraints in Neural Networks [J] . SubhaFernando, KoichiYamada Computational intelligence and neuroscience . 2012,第4期

机译：依赖于峰值时间的可塑性和短期可塑性共同控制神经网络中不受重量约束的Hebbian可塑性的激发
3. Formation and Regulation of Dynamic Patterns in Two-Dimensional Spiking Neural Circuits with Spike-Timing-Dependent Plasticity [J] . John H. C. Palmer, Pulin Gong Neural computation . 2013,第11期

机译：带有尖峰时间相关可塑性的二维尖峰神经回路中动态模式的形成和调节
4. Spike-Timing-Dependent Synaptic Plasticity to Learn Spatiotemporal Patterns in Recurrent Neural Networks [C] . Masahiko Yoshioka, Silvia Scarpetta, Maria Marinaro International Conference on Artificial Neural Networks(ICANN 2007); 20070909-13; Porto(PT) . 2007

机译：依赖于尖峰时间的突触可塑性，以学习循环神经网络中的时空模式
5. Learning, Recognizing and Early Classification of Spatio-Temporal Patterns using Spike Timing Neural Networks [D] . Rekabdar, Banafsheh. 2017

机译：使用穗定时神经网络学习，识别和时空模式的早期分类
6. Spike-Timing-Dependent Plasticity and Short-Term Plasticity Jointly Control the Excitation of Hebbian Plasticity withoutWeight Constraints in Neural Networks [O] . Subha Fernando, Koichi Yamada 2012

机译：不依赖尖峰时间的可塑性和短期可塑性共同控制Hebbian可塑性的激发神经网络中的权重约束
7. Unsupervised speech recognition through spike-timing-dependent plasticity in a convolutional spiking neural network [O] . Meng Dong, Xuhui Huang, Bo Xu 2018

机译：通过卷积尖峰神经网络中的峰时依赖性可塑性无监督的语音识别

Pattern Classification by Spiking Neural Networks Combining Self-Organized and Reward-Related Spike-Timing-Dependent Plasticity

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