1: Deistler, M., Macke, J. H., & Gonçalves, P. J. (2022). Energy-efficient network activity from disparate circuit parameters. Proceedings of the National Academy of Sciences, 119(44), e2207632119.
2: Speiser, A., Müller, L. R., Hoess, P., Matti, U., Obara, C. J., Legant, W. R., … & Turaga, S. C. (2021). Deep learning enables fast and dense single-molecule localization with high accuracy. Nature methods, 18(9), 1082-1090.
3: Gonçalves, P. J., Lueckmann, J. M., Deistler, M., Nonnenmacher, M., Öcal, K., Bassetto, G., … & Macke, J. H. (2020). Training deep neural density estimators to identify mechanistic models of neural dynamics. Elife, 9, e56261.
4: Boelts, J., Lueckmann, J. M., Gao, R., & Macke, J. H. (2022). Flexible and efficient simulation-based inference for models of decision-making. Elife, 11, e77220.
5: Greenberg, D., Nonnenmacher, M., & Macke, J. (2019, May). Automatic posterior transformation for likelihood-free inference. In International Conference on Machine Learning(pp. 2404-2414). PMLR.
6: Barrett, David GT, Ari S. Morcos, and Jakob H. Macke. “Analyzing biological and artificial neural networks: challenges with opportunities for synergy?.” Current opinion in neurobiology 55 (2019): 55-64.
7: Nonnenmacher, M., Behrens, C., Berens, P., Bethge, M., & Macke, J. H. (2017). Signatures of criticality arise from random subsampling in simple population models. PLoS computational biology, 13(10), e1005718.
8: Speiser, A., Yan, J., Archer, E. W., Buesing, L., Turaga, S. C., & Macke, J. H. (2017). Fast amortized inference of neural activity from calcium imaging data with variational autoencoders. Advances in neural information processing systems, 30.
9: Macke, J. H., Opper, M., & Bethge, M. (2011). Common input explains higher-order correlations and entropy in a simple model of neural population activity. Physical Review Letters, 106(20), 208102.
10: Macke, J. H., Buesing, L., Cunningham, J. P., Yu, B. M., Shenoy, K. V., & Sahani, M. (2011). Empirical models of spiking in neural populations. Advances in neural information processing systems, 24.
