Thalamocortical neural field models of EEG data in tensorflow

[Remi-Gau]

Added as an issue for book keeping

Source: https://github.com/CAMH-SCWG/to-brainhack-2018/wiki

Team Members: John Griffiths, Rabiya Noori, Daniel Park, Jeremie Lefebvre, Ayda Ghahremani [please add your name if you're interested!]

The aim of this project is to implement a relatively simple physiological model of macro-scale neural dynamics generating EEG signals in tensorflow.

Objectives:

• Implement (in python) the robinson thalamocortical neural field model (spectral-domain variant)
• make jupyter notebook widgets for interactively exploring depandence of model outputs on parameter values
• Implement model fitting & parameter estimation using tensorflow / scipy.optimize / scikit.optimize
• Derive mathematically the equivalent analytic spectral form for an alternative model formulation (with wilson-cowan equations)

The github repository for this project is here. See here for some initial notes and code sketches.

We are looking for additional recruits with experience and/or interest in: python, tensorflow, neurophysiological modelling, and M/EEG data analysis.