This is a repository for solutions for the exercises in the book Theoretical Neuroscience by P. Dayan and L.F. Abbott.
Used data for and list of problems are available at official website.
Implementing of solutions is done in python *.py files, discussion and mathematical derivation are written in *.ipynb files (because of the math support).
- Problem c2p2 gives weird result Not sure where is the problem
- chapter 1 - all
- chapter 2 - all except exercise 2
- Would be nice to track units with the variables
- Add theoretical results in plots?
- Aim of the solutions is purely educational, therefore some parts are slower for the sake of understandability over the optimization
- There is an interesting phenomenon with Fano factors. For small bins it is always very close to 1 for Poisson process, although for bigger bins it usually tends away from one, even for longer durations. Is this reasonable or is there problem in implementation?
- Presentation of the solution is changing quite a bit, when there is time I will try to unify it, in the mean time I am sorry for the mess
- What holds synapses together? Why are they stuck close together?
Other people's attempts https://github.com/phvu/theoretical-neuroscience