This repository holds the source code for the Excitatory-Inhibitory attractor model which was used in [SOLANKA2015]. It is based partly on Python (numpy, scipy, matplotlib) and/or C++ (NEST simulator).
For installation information, see the INSTALL.rst file. This file also
contains information on how to build the documentation only.
The repository contains several folders, however the most important one is grid_cell_model. This directory contains the grid cell model and all its necessary components.
- data/
- Data files useful in the simulations. Contains rodent tracking data and preprocessing scripts.
- doc/
- Documentation files. Please read
INSTALL.rston how to build the documentation. This does not require installing the whole project. - grid_cell_model/
- Grid cell model simulation scripts and source files. This is the main directory. If you just want to work with the grid cell model, you can simply ignore all the other directories.
- manuscripts/
- Various manuscripts for publication purposes.
- noisefigs/
- Python package that contains figure generation code for
grid_cell_model/simulations/007_noise. - simtools
- The simtools package (as a git submodule).
ei-attractor is distributed under the GPL license. See LICENSE.txt in
the root of the repository.
| [SOLANKA2015] | Solanka, L, van Rossum, M.C.W., and Nolan, M.F. (2015). Noise promotes independent control of gamma oscillations and grid firing within recurrent attractor networks. In Preparation. |