Automated Model Inference from Neural Dynamics for a Mechanistic Understanding of Cognition

Project Information

AutoMIND

Grant agreement ID: 101030918

DOI

10.3030/101030918

Project closed

EC signature date 21 April 2021

Start date 1 May 2021

End date 30 April 2023

Funded under

• EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions

Total cost

€ 162 806,40

EU contribution

€ 162 806,40

Coordinated by

EBERHARD KARLS UNIVERSITAET TUEBINGEN
Germany

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Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Publications

Peer reviewed articles (2)

Flexible and efficient simulation-based inference for models of decision-making

Author(s): Jan Boelts, Jan-Matthis Lueckmann, Richard Gao, Jakob H Macke
Published in: eLife, 2022, ISSN 2050-084X
Publisher: eLife Sciences Publications
DOI: 10.7554/elife.77220

Simulation-based inference for efficient identification of generative models in computational connectomics

Author(s): Jan Boelts, Philipp Harth, Richard Gao, Daniel Udvary, Felipe Yáñez, Daniel Baum, Hans-Christian Hege, Marcel Oberlaender, Jakob H. Macke
Published in: biorxiv, 2023, ISSN 2692-8205
Publisher: CSHL
DOI: 10.1101/2023.01.31.526269

Other (2)

Generating realistic neurophysiological time series with denoising diffusion probabilistic models

Author(s): Julius Vetter, Jakob Macke, Richard Gao
Published in: biorxiv, 2023
Publisher: Cold Spring Harbor Laboratory
DOI: 10.1101/2023.07.12.548657

Generalized Bayesian Inference for Scientific Simulators via Amortized Cost Estimation

Author(s): Richard Gao, Michael Deistler, Jakob Macke
Published in: arXiv, 2023
Publisher: arXiv
DOI: 10.48550/arxiv.2305.15208