Data for "Convergent temperature representations in artificial and biological neural networks"

Data for "Convergent Temperature Representations in Artificial and Biological
neural networks" by Haesemeyer M, Schier AF and Engert F, 2019

The corresponding python code is available at:
https://github.com/haesemeyer/GradientPrediction

All zip files should be extracted in the same folder as the python files. This
will create a sub-folder structure for the model data.
ZIP File Contents (Note: These are used by the code and not necessarily useful
by themselves):
model_data.zip
    Contains tensorflow checkpoints on all naive and fully trained models, test
    errors during training as well as evolution weights where applicable.
model_cluster_assignments.zip
    For the trained models in model_data.zip the response cluster assignment
    for each individual unit.
zebrafish_data.zip
    The zebrafish brain and behavior data used in the paper comparisons. This
    archive also contains the temperature stimulus file stimFile.hdf5
training_data.zip
    The generated training data used during predictive network training
test_data.zip
    The generated test data used to evaluate predictive network training