Here are some sources of information for undergraduate students to introduce themselves to computational neuroscience. If you are not sure exactly what computational neuroscience is, you may want to watch this short video from the Blue Brain Project, which provides a good example of a large-scale project in computational neuroscience:
To learn more about computational neuroscience, first, the book Neuronal Dynamics by Wulfram Gerstner et al. provides an excellent introduction. I recommend reading the first section, Foundations of Neuronal Dynamics, which covers the first four chapters. This book can be bought or read online (free from the authors).
Second, tutorials can be useful to learn how to run neural models. Here are tutorials for some tools that you might want to get familiar with:
For those who may find this material useful, I taught a graduate seminar course on computational neuroscience. Here are the slides from this course:
- Introduction to modeling in neuroscience
- Integrate-and-fire neurons
- Hodgkin-Huxley modeling
- Compartmental models
- Neural networks
- Phase-plane analysis
- Neural mass models