Jan-Matthis Lueckmann

Author

Center of Advanced European Studies and Research ORCID

Also Known As

Jan-Matthis Lueckmann, Lueckmann, Jan-Matthis

Publications

971

Citations

H-Index

Concepts

All Affiliations

Center of Advanced European Studies and Research Technical University of Munich Max Planck Society University of Oxford Wellcome Centre for Integrative Neuroimaging

About

Jan-Matthis Lueckmann is an author at Center of Advanced European Studies and Research specializing in social sciences, neuroscience, and machine learning.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Social Sciences	6	6	298
2	Engineering	5	5	267
3	Arts	1	1	211
4	Medicine	1	1	26
5	Cognitive Science	1	1	26

Jan-Matthis Lueckmann

Publications

942

Citations

H-Index

Page 1

	Year	Citations
Training deep neural density estimators to identify mechanistic models of neural dynamics Pedro J. Gonçalves, Jan-Matthis Lueckmann, Michael Deistler, eLife	2020	250
Ostracism Online: A social media ostracism paradigm Wouter Wolf, Ana Levordashka, Johanna R. Ruff, Behavior Research Methods Social MediaOnline CommunityProblematic Social Medium UseCommunicationArts	2014	211
Flexible statistical inference for mechanistic models of neural dynamics Jan-Matthis Lueckmann, Pedro J. Gonçalves, Giacomo Bassetto, arXiv (Cornell University) EngineeringMachine LearningData SciencePosterior DistributionComputational Neuroscience	2017	96
Flexible statistical inference for mechanistic models of neural dynamics Jan-Matthis Lueckmann, Pedro J. Gonçalves, Giacomo Bassetto, Lirias (KU Leuven) EngineeringMachine LearningData SciencePosterior DistributionComputational Neuroscience	2017	66
p53 Regulates the Neuronal Intrinsic and Extrinsic Responses Affecting the Recovery of Motor Function following Spinal Cord Injury Elisa M. Floriddia, Khizr I. Rathore, Andrea Tedeschi, Journal of Neuroscience	2012	52
Can Serial Dependencies in Choices and Neural Activity Explain Choice Probabilities? Jan-Matthis Lueckmann, Jakob H. Macke, Hendrikje Nienborg Journal of Neuroscience	2018	50
Likelihood-free inference with emulator networks Jan-Matthis Lueckmann, Giacomo Bassetto, Theofanis Karaletsos, arXiv (Cornell University) EngineeringMachine LearningProbabilistic ComputationSocial SciencesBayesian Inference	2018	45
Flexible and efficient simulation-based inference for models of decision-making Jan Boelts, Jan-Matthis Lueckmann, Richard Gao, eLife	2022	45
Likelihood-free inference with emulator networks Jan-Matthis Lueckmann, Giacomo Bassetto, Theofanis Karaletsos, MPG.PuRe (Max Planck Society) EngineeringMachine LearningProbabilistic ComputationSocial SciencesBayesian Inference	2018	39
Training deep neural density estimators to identify mechanistic models of neural dynamics Pedro J. Gonçalves, Jan-Matthis Lueckmann, Michael Deistler, Machine LearningSynaptic TransmissionCircuit NeuroscienceAutoencodersAbstract Mechanistic Modeling	2019	26

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