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Neural network adaptive whitening with overcomplete gain control

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Adaptive whitening in neural populations with gain-modulating interneurons

network2

Introduction

This repo is associated with our project on adaptive online whitening using overcomplete projections and gain modulation. We presented this as a poster at COSYNE 2023 [1], and as a manuscript/poster at ICML 2023 [2].

Installation

Pull this repo, cd to it, and pip install -e .

Code to reproduce figures and experiments

The frame_whitening/ directory contains code central to the project, including the algorithm, and utility functions. The figures/ directory contains the ipynb files to reproduce the figures in the paper. These can be viewed online directly.

References

[1] Duong L. R., Lipshutz D., Heeger D. J., Chklovskii D. B., & Simoncelli E. P. (2023). Adaptive coding efficiency through joint gain control in neural populations. Computational and Systems Neuroscience (COSYNE), Montreal QC, Canada.

[2] Duong L. R.*, Lipshutz D.*, Heeger D. J., Chklovskii D. B., & Simoncelli E. P. (2023). Adaptive whitening in neural populations with gain-modulating interneurons. International Conference on Machine Learning (ICML), Honolulu, HI, USA.

* Equal contribution.

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Neural network adaptive whitening with overcomplete gain control

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