Spiking neuron models
by Wulfram Gerstner, Werner M. Kistler · first published 2002
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Neurons in the brain communicate by short electrical pulses, the so-called action potentials or spikes. How can we understand the process of spike generation? How can we understand information transmission by neurons? What happens if thousands of neurons are coupled together in a seemingly random network? How does the network connectivity determine the activity patterns? And, vice versa, how does the spike activity influence the connectivity pattern? These questions are addressed in this introduction to spiking neurons aimed at those taking courses in computational neuroscience, theoretical bi
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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…
on “Ask HN: What projects are you working on now?” ↗…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…
on “ Neural Networks - A Systematic Introduction ” ↗