Spiking neuron models : single neurons, populations, plasticity

This introduction to spiking neurons can be used in advanced-level courses in computational neuroscience, theoretical biology, neural modeling, biophysics, or neural networks. It focuses on phenomenological approaches rather than detailed models in order to provide the reader with a conceptual frame...

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Bibliografische gegevens
Hoofdauteur: Gerstner, Wulfram
Formaat: Boek
Taal:Undetermined
Gepubliceerd in: Cambridge, U.K Cambridge University Press 2002
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Thư viện lưu trữ: Trung tâm Học liệu Trường Đại học Cần Thơ
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Samenvatting:This introduction to spiking neurons can be used in advanced-level courses in computational neuroscience, theoretical biology, neural modeling, biophysics, or neural networks. It focuses on phenomenological approaches rather than detailed models in order to provide the reader with a conceptual framework. The authors formulate the theoretical concepts clearly without many mathematical details. While the book contains standard material for courses in computational neuroscience, neural modeling, or neural networks, it also provides an entry to current research. No prior knowledge beyond undergraduate mathematics is required.