ctn-archive/gosmann-cogsci2015

N-back model presented in "A Spiking Neural Modelof the n-Back Task"

A Spiking Neural Model of the n-Back Task

This repository contains the model presented in the conference submission "A Spiking Neural Model of the n-Back Task" and associated scripts.

Files

• The actual n-back model is implemented in nback/model.py.
• Generation of n-back sequences is done with nback/nbackgen.py.
• The task parameters are set in data/conf.py.
• The plots were created with the IPython notebook notebooks/Evaluation.ipynb.

Requirements

The code has been run with Python 2.7; Python 3 does not work. The following Python packages are required to run the model:

• Nengo 2.0.1
• NumPy
• SciPy

Note that the model does not use the vanilla Nengo spa module, but a slightly optimized version which is included in this repository as nback/spaopt.

For the evaluation notebook the following Python packages are needed:

• IPython
• NumPy
• Matplotlib
• Pandas
• Seaborn

Usage

python nback/model.py --help and python nback/nbackgen.py --help print usage information for the respective files.

To generate all data shown in the paper a dodo.py file is provided. It can be run with the doit command if the Python doit package is installed.