<p><p>This book is intended as a text for a one-semester course on Mathematical and Computational Neuroscience for upper-level undergraduate and beginning graduate students of mathematics, the natural sciences, engineering, or computer science. An undergraduate introduction to differential equations
An Introduction to Modeling Neuronal Dynamics
β Scribed by Christoph BΓΆrgers
- Publisher
- Springer
- Year
- 2017
- Tongue
- English
- Leaves
- 443
- Category
- Library
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
Although neural modeling has a long history, most of the texts available on the subject are quite limited in scope, dealing primarily with the simulation of large-scale biological neural networks applicable to describing brain function. Introduction to Dynamic Modeling of Neuro-Sensory Systems prese
Although neural modeling has a long history, most of the texts available on the subject are quite limited in scope, dealing primarily with the simulation of large-scale biological neural networks applicable to describing brain function. Introduction to Dynamic Modeling of Neuro-Sensory Systems prese
These notes for computer labs accompany our textbook Dynamic Models in Biology (Princeton<br/>University Press 2006). They are based in part on course materials by former TAs ColleenWebb,<br/>Jonathan Rowell and Daniel Fink at Cornell, Professors Lou Gross (University of Tennessee)<br/>and Paul Fack
<p><P><STRONG>Brain Dynamics</STRONG> serves to introduce graduate students and nonspecialists from various backgrounds to the field of mathematical and computational neurosciences. Some of the advanced chapters will also be of interest to the specialists. The book approaches the subject through pul