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This repository contains code material for the publication: Bohnstingl, T., Woźniak, S., Maass, W., Pantazi, A., & Eleftheriou, E. (2020). Online Spatio-Temporal Learning in Deep Neural Networks. arXiv, 2007.12723. https://arxiv.org/abs/2007.12723v2

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ostl

This repository contains code material for the publication: Bohnstingl, T., Woźniak, S., Maass, W., Pantazi, A., & Eleftheriou, E. (2020). Online Spatio-Temporal Learning in Deep Neural Networks. arXiv, 2007.12723. https://arxiv.org/abs/2007.12723v2

Usage

This repository contains python notebooks that illustrate the basic working principle of OSTL. In order to facilitate a smoot experience, an anaconda environment configuration file is provided. Please run

foo@bar:~$ conda env create -f OSTL_Anaconda_Env.yml

to install the environment

Feedback

If you have feedback or want to contribute to the code base, please feel free to open Issues or Pull Requests via GIT directly.

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This repository contains code material for the publication: Bohnstingl, T., Woźniak, S., Maass, W., Pantazi, A., & Eleftheriou, E. (2020). Online Spatio-Temporal Learning in Deep Neural Networks. arXiv, 2007.12723. https://arxiv.org/abs/2007.12723v2

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