To begin with, I hope this is the right place to ask - if not, please don't be too mad about it :)
Currently I'm studying mathematics (2nd year) and I think I'm pretty into neuroscience. To "test" this, I purchased Principles of Computational Modelling in Neuroscience and am considering to get Biophysics of Computation: Information Processing in Single Neurons which seems to fit my interests fairly well, as I'd want to steer a middle course: Learn about the biological structure and manner of functioning of neural cells and thus be able to derive and develop models that do not only fulfill one special task (like most machine learning, ... now - an algorithm for face recognition will never challenge its own functioning), but rather resemble our brain.
Now two questions arised:
- Is Biophysics of Computation still a good read, or is it considered too outdated?
- I took a look at several universities' websites to find a postgraduate place and noticed that neuroscience seems to be perceived differently across different universities. Some concentrate only on the medical part and want students to work in laboratories while others only focus on the informatics part, machine learning and the like. Stanford sounds pretty nice as they offer the possibility to distribute your coursework across different departments (notably biosciences and maths; see subitem "Academics"). I'd love to go there, take "inspiration" from biology and translate this into better mathematical models, however I guess I won't make it to Stanford, so: Any recommendations? (e.g. suggestions which universities let you choose as well)
Thanks for reading this wall of text and for any answers!As Biophysics of Computation was published in 1998, I wanted to know if it is still a good read, or already considered too outdated?