Contact
Phone: +49 228 965617
Education/Degrees
2001 – 2005 | Master in Mathematics, Oxford University, UK |
2005 – 2010 | Dr. rer. nat., University of Tübingen (Summa cum Laude) Research at MPI for Biological Cybernetics Tübingen |
Academic Career
2010 – 2012 | Postdoctoral fellow, Gatsby Computational Neuroscience Unit, UCL, London, UK |
2012 – 2015 | Bernstein Group Leader, Max Planck Institute for Biological Cybernetics, Tübingen |
2015 – | Max Planck Group Leader, Center for Advanced European Studies and Research |
Awards and Honors
2005 | Gibbs Prize (Proxime Accesit) by University of Oxford |
2010 | Summa cum laude for doctoral thesis work |
2012 | Otto Hahn Medal by the Max Planck Society |
Memberships an professional functions
2013 – | Elected Member of Junge Akademie an der Berlin-Brandenburgischen Akademie der Wissenschaften und der Deutschen |
Akademie der Naturforscher Leopoldina | |
2016 – | Selection Committee and Steering Committee, International Max Planck Research School Brain and Behavior, Bonn/Florida |
2016 – | Faculty, Smart-start, German Training Network in Computational Neuroscience |
2016 – | Associate Editor, PLoS Computational Biology |
2016 – | Area Chair, Conference on Neural Information Processing Systems (NIPS) |
2017 – | Co-Director, Cajal Course in Computational Neuroscience, Champalimaud Centre, Lisbon, Portugal |
Five most important publications
Park M, Bohner G, Macke JH (2015) Unlocking neural population non-stationarities using hierarchical dynamics models, Advances in Neural Information Processing Systems (NIPS)
Turaga SC, Büsing L, Packer AM, Dalgleish H, Petit N, Häusser M, Macke JH (2013) Inferring neural population dynamics from multiple partial recordings of the same neural circuit, Advances in Neural Information Processing Systems (NIPS)
Haefner RM, Gerwinn S, Macke JH, Bethge M (2013) Inferring decoding strategies from choice probabilities in the presence of correlated variability, Nature Neuroscience, 2, 235-242
Macke JH, Büsing L, Cunningham JP, Yu BM, Shenoy KV, Sahani M (2011) Empirical models of spiking in neural populations, Advances in Neural Information Processing Systems (NIPS)
Macke JH, Opper M, Bethge M (2011) Common input explains higher-order correlations and entropy in a simple model of neural population activity, Physical Review Letters 20, 1-4