Designed primarily as an introduction to realistic modeling methods, Computational Neuroscience: Realistic Modeling for Experimentalists focuses on methodological approaches, selecting appropriate methods, and identifying potential pitfalls. The author addresses varying levels of complexity, from mo
Computational neuroscience: realistic modeling for experimentalists
โ Scribed by Erik De Schutter
- Publisher
- CRC Press
- Year
- 2001
- Tongue
- English
- Leaves
- 355
- Series
- Methods & new frontiers in neuroscience series
- Category
- Library
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
<p>Designed primarily as an introduction to realistic modeling methods, Computational Neuroscience: Realistic Modeling for Experimentalists focuses on methodological approaches, selecting appropriate methods, and identifying potential pitfalls. The author addresses varying levels of complexity, from
Designed primarily as an introduction to realistic modeling methods, Computational Neuroscience focuses on methodological approaches, including selecting appropriate methods, identifying potential pitfalls. It addresses varying levels of complexity, from molecular interactions within single neurons
A guide to computational modeling methods in neuroscience, covering a range of modeling scales from molecular reactions to large neural networks.
<p>Formal study of neuroscience (broadly defined) has been underway for millennia. For example, writing 2,350 years ago, Aristotle! asserted that association - of which he defined three specific varieties - lies at the center of human cognition. Over the past two centuries, the simultaneous rapid ad