Jakob H. Macke, PhD
Affiliations: | Gatsby Computational Neuroscience Unit | University College London, London, United Kingdom |
Area:
Computation and Theory, VisionWebsite:
http://www.kyb.mpg.de/~jakobGoogle:
"Jakob Macke"Mean distance: 13.93 (cluster 17) | S | N | B | C | P |
Cross-listing: Computational Biology Tree
Parents
Sign in to add mentor| Karel Svoboda | research assistant | 2004-2004 | CSHL | |
| (Undergraduate Research Program) | ||||
| Bernhard Schölkopf | grad student | MPI for Biological Cybernetics | ||
| Matthias Bethge | grad student | 2005-2010 | MPI for Biological Cybernetics | |
| Maneesh Sahani | post-doc | 2010- | UCL | |
Children
Sign in to add trainee| Pedro J. Gonçalves | grad student | ||
| Piotr Sokol | grad student | ||
| Alana I Darcher | grad student | 2019- | Technical University of Munich |
| Mijung Park | post-doc | 2014-2014 | MPI Tuebingen |
BETA: Related publications
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Publications
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| Gonçalves PJ, Lueckmann JM, Deistler M, et al. (2020) Training deep neural density estimators to identify mechanistic models of neural dynamics. Elife. 9 |
| Berens P, Freeman J, Deneux T, et al. (2018) Community-based benchmarking improves spike rate inference from two-photon calcium imaging data. Plos Computational Biology. 14: e1006157 |
| Nonnenmacher M, Behrens C, Berens P, et al. (2017) Signatures of criticality arise from random subsampling in simple population models. Plos Computational Biology. 13: e1005718 |
| Schütt HH, Harmeling S, Macke JH, et al. (2016) Painfree and accurate Bayesian estimation of psychometric functions for (potentially) overdispersed data. Vision Research |
| Schütt H, Harmeling S, Macke J, et al. (2015) Psignifit 4: Pain-free Bayesian Inference for Psychometric Functions. Journal of Vision. 15: 474 |
| Panzeri S, Macke JH, Gross J, et al. (2015) Neural population coding: combining insights from microscopic and mass signals. Trends in Cognitive Sciences. 19: 162-72 |
| Küffner R, Zach N, Norel R, et al. (2015) Crowdsourced analysis of clinical trial data to predict amyotrophic lateral sclerosis progression. Nature Biotechnology. 33: 51-7 |
| Macke JH, Buesing L, Sahani M. (2015) Estimating state and parameters in state space models of spike trains Advanced State Space Methods For Neural and Clinical Data. 137-159 |
| Park M, Bohner G, Macke JH. (2015) Unlocking neural population non-stationarity using a hierarchical dynamics model Advances in Neural Information Processing Systems. 2015: 145-153 |
| Fründ I, Wichmann FA, Macke JH. (2014) Quantifying the effect of intertrial dependence on perceptual decisions. Journal of Vision. 14 |