PoissonBalancedNets

Implementation of Balanced Spiking Networks with Poisson Neurons, from Rullán & Pillow 2019. Preprint here.

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MATLAB code to implement the balanced spiking networks (BSN) and generate figures from Rullán & Pillow, 2019.

Sample scripts

• figure_X.m: Scripts to generate figures 2, 4, 5, 6, 7 and 8 from Rullán & Pillow, 2019. (e.g., figure_2.m for fig. 2)

BSN model functions

• local_framework.m: implementation of the local Poisson BSN
• population_framework.m: implementation of the population Poisson BSN
• bsn.m: implementation of the original BSN from Boerlin et al.. 2013

Other

• plotRaster.m: plots raster of spikes
• colorcet.m: generates perceptually uniform colormaps (for fig. 5B and 5C)
• test_approx.m: calculates theoretical minimum error from exponential approximation (for fig. 7B)

Downloading the repository

• From command line:

  git clone [email protected]:pillowlab/PoissonBalancedNets.git

• In browser: click to Download ZIP and then unzip archive.