Mathematics for Neuroscientists (ePub)
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Mathematics for Neuroscientists, Second Edition, presents a comprehensive introduction to mathematical and computational methods used in neuroscience to describe and model neural components of the brain from ion channels to single neurons, neural networks and their relation to behavior. The book contains more than 200 figures generated using Matlab code available to the student and scholar. Mathematical concepts are introduced hand in hand with neuroscience, emphasizing the connection between experimental results and theory.
- Fully revised material and corrected text
- Additional chapters on extracellular potentials, motion detection and neurovascular coupling
- Revised selection of exercises with solutions
- More than 200 Matlab scripts reproducing the figures as well as a selection of equivalent Python scripts
- Autoren: Fabrizio Gabbiani , Steven James Cox
- 2017, 2. Auflage, 628 Seiten, Englisch
- Verlag: Elsevier Science & Techn.
- ISBN-10: 0128019069
- ISBN-13: 9780128019061
- Erscheinungsdatum: 21.03.2017
Abhängig von Bildschirmgrösse und eingestellter Schriftgrösse kann die Seitenzahl auf Ihrem Lesegerät variieren.
- Dateiformat: ePub
- Grösse: 69 MB
- Mit Kopierschutz
- Vorlesefunktion
--Dr. Kevin Franks, research fellow, Richard Axel's laboratory Columbia University, NYC
"The idea of presenting sufficient maths to understand the theoretical neuroscience, alongside the neuroscience itself, is appealing.The inclusion of Matlab code for all examples and computational figures is an excellent idea. Many readers will want to use and explore the code, either to directly aid their understanding, or as the basis for their own ongoing research, and Matlab is a widely used tool in this area."
--David Corney, research fellow, Institute of Ophthalmology, University College London
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