Skip to content

tkqtang/sim_lpl_py

Repository files navigation

This code is intended to reproduce the results of the SNN section of the paper(The combination of Hebbian and predictive plasticity learns invariant object representations in deep sensory networks). You can find the original code here. Before using this code, you need to:

  1. install the stork first, because this code is based on the stork.
  2. run mk_spikes.ipynb to make spike train for simulate
  3. run simulate.ipynb, this may take several days
  4. run analyze_result.ipynb to analyze result

You need to make sure you have at least 16g RAM, or 8g video memory.

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published