Skip to content

This repository contains the supportive material for the paper "Neuromorphic Hardware learns to learn".

Notifications You must be signed in to change notification settings

bohnstingl/Neuromorphic_Hardware_learns_to_learn

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

12 Commits
 
 
 
 
 
 
 
 

Repository files navigation

Neuromorphic Hardware learns to learn

This repository contains the supportive material for the publication "Neuromorphic Hardware learns to learn" [1].

Software model

Install

  • Install NEST simulator [2]
  • Install python dependencies listed in requirements.txt e.g.: pip install -r requirements.txt
  • Install L2L [3] framework
    • Clone from [3]
    • Switch to branch no-jube
    • Install without the requirements e.g.: pip --no-deps .

Run

  • cd software
  • mkdir LTL-Logs if not existing
  • python -m scoop ltl-SNN-ce.py

Hardware model

The hardware models are included in hardware/*. In order to use it you need access to the BrainScales 2 prototype chips at the University of Heidelberg. Nevertheless, you can examine the hardware specific code (e.g. meta-plasticity network)

References

[1] -

[2] https://github.com/nest/nest-simulator

[3] https://github.com/IGITUGraz/L2L

About

This repository contains the supportive material for the paper "Neuromorphic Hardware learns to learn".

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published