Dr. Jakob Macke

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

 

 

Contact

Phone: +49 228 965617