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- Author: Wulfram Gerstner
- Publisher: Cambridge University Press
- ISBN-10: 0521890799
- ISBN-13: 9780521890793
- Format: 17.7 x 24.4 x 2.3 cm, minkšti viršeliai
- Language: English
- SAVE -10% with code: EXTRA
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Description
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.
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- Author: Wulfram Gerstner
- Publisher: Cambridge University Press
- ISBN-10: 0521890799
- ISBN-13: 9780521890793
- Format: 17.7 x 24.4 x 2.3 cm, minkšti viršeliai
- Language: English English
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.
Reviews