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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| Dax M, Green SR, Gair J, et al. (2021) Real-Time Gravitational Wave Science with Neural Posterior Estimation. Physical Review Letters. 127: 241103 |
| Dehnen G, Kehl MS, Darcher A, et al. (2021) Duplicate Detection of Spike Events: A Relevant Problem in Human Single-Unit Recordings. Brain Sciences. 11 |
| Gonçalves PJ, Lueckmann JM, Deistler M, et al. (2020) Training deep neural density estimators to identify mechanistic models of neural dynamics. Elife. 9 |
| René A, Longtin A, Macke JH. (2020) Inference of a Mesoscopic Population Model from Population Spike Trains. Neural Computation. 1-51 |
| Sekhar S, Ramesh P, Bassetto G, et al. (2020) Characterizing Retinal Ganglion Cell Responses to Electrical Stimulation Using Generalized Linear Models. Frontiers in Neuroscience. 14: 378 |
| Macke JH, Nienborg H. (2019) Choice (-history) correlations in sensory cortex: cause or consequence? Current Opinion in Neurobiology. 58: 148-154 |
| Barrett DG, Morcos AS, Macke JH. (2019) Analyzing biological and artificial neural networks: challenges with opportunities for synergy? Current Opinion in Neurobiology. 55: 55-64 |
| 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 |
| Lueckmann JM, Macke JH, Nienborg H. (2018) Can serial dependencies in choices and neural activity explain choice probabilities? The Journal of Neuroscience : the Official Journal of the Society For Neuroscience |
| 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 |