Generalization in data-driven models of primary visual cortex (Code)
Code base for "Generalization in data-driven models of primary visual cortex", Lurz et al. ICLR 2021
- GIN along with
git-annexto download the data.
Go to a folder of your choice and type the following commands in a shell of your choice:
git clone https://github.com/sinzlab/Lurz_2020_code.git # get the data cd Lurz_2020_code/notebooks/data gin login gin get cajal/Lurz2020 # might take a while; fast internet recommended cd - # create docker container (possibly you need sudo) cd Lurz_2020_code/ docker-compose run notebook
Now you should be able to access the jupyter notebooks via
YOURCOMPUTER:8888 in the browser.
The data you downloaded is the evaluation dataset (Figure 1 in the paper, blue) from the test animal that we tested our transfer cores on in Figure 5. The weights from our best transfer core (11-S in Figure 5, orange line) are stored in
Lurz_2020_core/notebooks/models and can be loaded as described in
If you want to predict your own data with our core, copy your data to the folder