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

Research was funded through NIH 1U19NS104653, 5R24NS086601 and 1DP1HD094764 as well as a Simons Collaboration on the Global Brain Research Award (542973)