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
Hasła przedmiotowe:	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
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Thư viện lưu trữ:	Trung tâm Học liệu Trường Đại học Cần Thơ

Opis
Streszczenie:	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.

Spiking neuron models : single neurons, populations, plasticity

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