Competitive behaviors of a spiking neural network with spike timing dependent plasticity

• Published in: 2012 5th International Conference on Biomedical Engineering and Informatics pp. 1015 - 1019
• Main Authors: Ruan, Chengmei, Wu, Qingxiang, Fan, Lijuan, Zhuo, Zhiqiang, Wang, Xiaowei
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.10.2012
• Subjects: Action potentials; Biological neural networks; competitive learning; Computational modeling; dynamic learning rate; Firing; Fixtures; Gray-scale; inhibitory synapse; Membrane potentials; Neurons; spike timing dependent plasticity; spiking neural network; Spiking neural networks; Synapses

Spike timing dependent plasticity (STDP) learning rule is one of hot topics in neurobiology since it's been widely believed that synaptic plasticity mainly contribute to learning and memory in brain. Up to now, STDP has been observed in a wide variety of areas of brain, hippocampus, cortex and...