| Author: | Fabrizio Gabbiani, Steven James Cox | ISBN: | 9780128019061 |
| Publisher: | Elsevier Science | Publication: | March 21, 2017 |
| Imprint: | Academic Press | Language: | English |
| Author: | Fabrizio Gabbiani, Steven James Cox |
| ISBN: | 9780128019061 |
| Publisher: | Elsevier Science |
| Publication: | March 21, 2017 |
| Imprint: | Academic Press |
| Language: | English |
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
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
