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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Opis bibliograficzny
1. autor: Gerstner, Wulfram
Format: Książka
Język:Undetermined
Wydane: 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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100 |a Gerstner, Wulfram 
245 0 |a Spiking neuron models : 
245 0 |b single neurons, populations, plasticity 
245 0 |c Wulfram Gerstner, Werner M. Kistle 
260 |a Cambridge, U.K 
260 |b Cambridge University Press 
260 |c 2002 
520 |a 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. 
650 |a Neurons,Neural networks (Neurobiology),Neuroplasticity,Computational neuroscience,Tế bào thần kinh,Mạng lưới thần kinh (Hệ thần kinh),Hệ thần kinh,Khoa học thần kinh 
904 |i Đình Thư, Trúc 
980 |a Trung tâm Học liệu Trường Đại học Cần Thơ