脉冲神经元模型
Spiking neuron models
Wulfram Gerstner、Werner M. Kistler · 初版 2002 年
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2次提及
大脑中的神经元通过短暂的电脉冲进行交流，即所谓的 action potentials 或 spikes。我们该如何理解 spike 的产生过程？如何理解神经元的信息传递？如果数千个神经元在一个看似随机的网络中耦合在一起会发生什么？网络连接特性如何决定活动模式？反之，spike 活动又如何影响连接模式？这本关于 spiking neurons 的入门指南探讨了这些问题，适合修读 computational neuroscience、theoretical bi 等课程的学习者
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…Connectionist Realization - Lockendra Shastri 57. Automated Planning and Acting - Malik Ghallab, Dana Nau, & Paolo Traverso 58. How Can The Human Mind Occur in the Physical Universe? - John Anderson 59. Spiking Neuron Models - Wulfram Gerstner & Werner Kistler 60. Neural Engineering - Chris Eliasmith & Charles H. Anderson 61. Principles of Neural Design - Peter Sterling & Simon Laughlin 62. Semantic Information Processing…
…Connectionist Realization - Lockendra Shastri 57. Automated Planning and Acting - Malik Ghallab, Dana Nau, & Paolo Traverso 58. How Can The Human Mind Occur in the Physical Universe? - John Anderson 59. Spiking Neuron Models - Wulfram Gerstner & Werner Kistler 60. Neural Engineering - Chris Eliasmith & Charles H. Anderson 61. Principles of Neural Design - Peter Sterling & Simon Laughlin 62. Semantic Information Processing…
……特性，但遗憾的是这并不是一个广为人知的研究课题。我读过的一篇论文是 Gerstner 等人（1999 年），他们在论文中描述了一种无监督学习模型。Gerstner 还写过一本叫《Spiking Neuron Models》的书，网上能看，里面对这个主题进行了非常详尽的探讨。还有人通过遗传算法演化网络拓扑来进行监督学习。基于脉冲（spike-based）的优势在于……
…property, but unfortunately it's not a widely known research topic. One paper I've read is Gerstner et al. (1999) in which they describe a model of unsupervised learning. Gerstner also has a book called Spiking Neuron Models, which is available online, that goes into a lot of detail on the topic. Other people have done supervised learning by evolving network topologies using genetic algorithms. The advantage of spike-based…