首页> 外文会议>Annual Computational Neuroscience Meeting(CNS'02); 20020721-20020725; Chicago,IL; US >Learning temporal patterns by redistribution of synaptic efficacy
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Learning temporal patterns by redistribution of synaptic efficacy

机译:通过重新分配突触功效学习时间模式

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Recent experiments have shown that neocortical synapses exhibit both short-term plasticity and spike-timing dependent long-term plasticity. It has been suggested that changes in short-term plasticity are mediated by a redistribution of synaptic efficacy. Here we propose a simple model of the interaction between spike-timing dependent plasticity and short-term plasticity. We show that the model captures the synaptic behavior seen in experiments on redistribution of synaptic efficacy. Results from our simulations suggest that spike-timing dependent redistribution of synaptic efficacy offers neocortical neurons a potentially powerful mechanism for learning spatiotemporal patterns in the input stream.
机译:最近的实验表明,新皮层突触既表现出短期可塑性,又具有依赖于尖峰时序的长期可塑性。已经提出,短期可塑性的变化是由突触功效的重新分布介导的。在这里,我们提出了一个与尖峰时间相关的可塑性和短期可塑性之间相互作用的简单模型。我们显示该模型捕获了突触功效重新分布实验中看到的突触行为。我们的模拟结果表明,突触时效依赖于尖峰时间的重新分布为新皮质神经元提供了一种学习输入流中时空模式的潜在强大机制。

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