Skip to content

Repository for the publication: Teichmann, M., Larisch, R., & Hamker, F. H. (2021). Performance of biologically grounded models of the early visual system on standard object recognition tasks. Neural Networks, 144, 210–228. https://doi.org/10.1016/j.neunet.2021.08.009

License

hamkerlab/Teichmann2021_NeuralNetworks

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

11 Commits
 
 
 
 
 
 
 
 

Repository files navigation

Teichmann2021_NeuralNetworks

Repository for the publication:

Teichmann, M., Larisch, R., & Hamker, F. H. (2021).
Performance of biologically grounded models of the early visual system on standard object recognition tasks.
Neural Networks, 144, 210–228.
https://doi.org/10.1016/j.neunet.2021.08.009

Structure

  • rate_based

    • Evaluation
      • contains the Python source files to perform the performance evualtions of the rate based network
    • Model
      • contains the Python source files to train the rate based network
  • spike_based

    • Evaluation
      • contains the Python source files to perform the performance evualtions of the spike based network
    • Model
      • contains the Python source files to train the spike based network

Please look at the README-Files in the corresponding subdirectories to obtain more information about requirements and the Python scripts.

About

Repository for the publication: Teichmann, M., Larisch, R., & Hamker, F. H. (2021). Performance of biologically grounded models of the early visual system on standard object recognition tasks. Neural Networks, 144, 210–228. https://doi.org/10.1016/j.neunet.2021.08.009

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published