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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Chi tiết về thư mục
Tác giả chính:	Gerstner, Wulfram
Định dạng:	Sách
Ngôn ngữ:	Undetermined
Được phát hành:	Cambridge, U.K Cambridge University Press 2002
Những chủ đề:	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
Các nhãn:	Thêm thẻ Không có thẻ, Là người đầu tiên thẻ bản ghi này!

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


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020			\|c 53.47
082			\|a 573.8536
082			\|b G383
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

Spiking neuron models : single neurons, populations, plasticity

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