I have just finished reading 'Neuroscience: Exploring the Brain' 3rd Edition, Bear et al. I am also planning on pursuing a neuroscience degree beginning fall 2019 and was wondering what other reading material I could use in preparation for such a degree. More specifically, I'm interested in computational neuroscience. What series of books is recommended to read for someone in my situation?
It's a rapidly developing field, so that some areas are incredibly well represented in the books to the point of being standard - like the neuronal dynamics (e.g. by Paninski, Naud, Kistner, Gerstner or e.g. by Izhikevich), some less, like neural coding (e.g. by Doia, Ishii, Pouget, Rao) and vision (e.g. by Rolls, Deco), some almost aren't, like motor control(?) or neuroanatomy(?), and some has yet to generate sufficient volume of theoretical work explaining experimental data (before it can start condensating in textbooks), like. Maybe try
Trappenberg - Fundamentals of Computational Neuroscience 2ed
It's pedagogically sound, yet not exhaustive nor particularly long to get through. This will help to have an initial overview of some topics, and build some taste for further reading interest (as the book really tries hard to give you a primer on a variety of topics and methods, and gives references). It has some code examples that you may rewrite in you favorite language. In addition, you may benefit from free browsing of Scholarpedia for reviews written by active researchers, and form your own idea of what "Computational Neuroscience" is.