Spiking Neuron Models

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.

Riassunto

Aimed at courses in computational neuroscience, theoretical biology, biophysics, or neural networks, this 2002 text will suit students of physics, mathematics, or computer science, as well as biologists who are interested in mathematical modelling. A large number of worked examples are embedded in the profusely-illustrated text.

Dettagli sul prodotto

• Autori: Wulfram Gerstner, W Gerstner, W Kistler, Werner Kistler, Werner M. Kistler, Gerstner Wulfram, Kistler Werner M., Wulfram (Ecole Polytechnique Federale de Lausanne) Gerstner, Werner M. (Erasmus Universiteit Rotterdam) Kistler
• Editore: Cambridge University Press Academic
• Contenuto: Libro
• Forma del prodotto: Tascabile
• Data pubblicazione: 15.08.2002
• Categoria: Scienze sociali, diritto, economia > Scienze sociali, tematiche generali; Scienze naturali, medicina, informatica, tecnica
• EAN: 9780521890793
• ISBN: 978-0-521-89079-3
• Dimensioni (della confezione): 17.5 x 24.6 x 2.5 cm
• Categorie: SCIENCE / Life Sciences / Neuroscience; Neurosciences; COMPUTERS / Data Science / Neural Networks; Neural networks and fuzzy systems; Neural networks & fuzzy systems