Data for "Convergent Temperature Representations in Artificial and Biological
neural networks" by Haesemeyer et al.

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