Neural Modeling and Data Analysis

30 Jun 2015 23:11

Especially, but not exclusively, modeling of spike trains (which is important for neural coding, and overlaps therewith).

Things to investigate: How easy would it be to adapt spike-sorting algorithms to cluster or classify other kinds of time series? Easy or not, would there be any point?

What's up with all the papers on using Ising models (and their variants) to model neural interactions? Some very respectable people are involved, but just saying the words makes me dubious. What's been done on using graphical-model structure learning for neural data?

See also: Neural Coding; Synchronization in Neural Systems; Neuroscience in general