Jakob H. Macke - Concepedia

Author

Jakob H. Macke

Also Known As

Bethge Matthias, Hoess, Philipp, J. H. MacKe, J. H. Macke, J.H. Macke, Jakob H Macke, Jakob H. Macke, Jakob Macke, Legant, Wesley R., Macke, J.

224

Publications

4.9K

Citations

H-Index

102

Concepts

All Affiliations

Max Planck Society University of Tübingen Max Planck Institute for Intelligent Systems Max Planck Institute for Biological Cybernetics Center of Advanced European Studies and Research

About

Jakob H. Macke is an author at Max Planck Society specializing in engineering, neuroscience, and social sciences.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	21	26	1.7K
2	Medicine	5	5	126
3	Public Health	2	2	237
4	Management	1	1	187
5	Natural Sciences	1	1	247

Jakob H. Macke

Publications

4.3K

Citations

H-Index

Page 1

	Year	Citations
Painfree and accurate Bayesian estimation of psychometric functions for (potentially) overdispersed data Heiko H. Schütt, Stefan Harmeling, Jakob H. Macke, Vision Research	2016	433
Quantifying the effect of intertrial dependence on perceptual decisions Ingo Fründ, Felix A. Wichmann, Jakob H. Macke Journal of Vision	2014	256
Training deep neural density estimators to identify mechanistic models of neural dynamics Pedro J. Gonçalves, Jan-Matthis Lueckmann, Michael Deistler, eLife	2020	250
Deep learning enables fast and dense single-molecule localization with high accuracy Artur Speiser, Lucas-Raphael Müller, Philipp Hoess, Nature Methods High AccuracyMolecular SciencesNatural SciencesMolecular BiologySingle Molecule	2021	247
Crowdsourced analysis of clinical trial data to predict amyotrophic lateral sclerosis progression Robert Küffner, Neta Zach, Raquel Norel, Nature Biotechnology EngineeringDisease ProgressionData SciencePredictive AnalyticsBiomedical Data Science	2014	200
Generating Spike Trains with Specified Correlation Coefficients Jakob H. Macke, Philipp Berens, Alexander S. Ecker, Neural Computation Mathematical ProgrammingEngineeringArtificial Spike TrainsData ScienceNeurodynamics	2008	197
Inferring decoding strategies from choice probabilities in the presence of correlated variability Ralf M. Haefner, Sebastian Gerwinn, Jakob H. Macke, Nature Neuroscience Cognitive ScienceChoice ProbabilitiesChoice ModelBehavioral Decision MakingExperimental Decision Making	2013	187
Community-based benchmarking improves spike rate inference from two-photon calcium imaging data Philipp Berens, Jeremy Freeman, Thomas Deneux, PLoS Computational Biology EngineeringNeural RecodingNeurophysiological BiomarkersBenchmark ChallengesSocial Sciences	2018	186
Empirical models of spiking in neural populations Jakob H. Macke, Lars Buesing, John P. Cunningham, MPG.PuRe (Max Planck Society)	2011	173
Intrinsic dimension of data representations in deep neural networks Alessio Ansuini, Alessandro Laio, Jakob H. Macke, arXiv (Cornell University) Geometric LearningNeural Scaling LawDeep Neural NetworksEngineeringMachine Learning	2019	129

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