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  Flexible statistical inference for mechanistic models of neural dynamics

Lueckmann, J., Goncalves, P., Bassetto, G., Oecal, K., Nonnenmacher, M., & Macke, J. H. (2018). Flexible statistical inference for mechanistic models of neural dynamics. In Advances in Neural Information Processing Systems 30 (NIPS 2017).

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Item Permalink: http://hdl.handle.net/21.11116/0000-0000-2569-1 Version Permalink: http://hdl.handle.net/21.11116/0000-0000-2788-B
Genre: Conference Paper

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Lückmann_Flexible.pdf (Publisher version), 7MB
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 Creators:
Lueckmann, J., Author
Goncalves, P., Author
Bassetto , G., Author
Oecal, K., Author
Nonnenmacher, M., Author
Macke, Jakob H.1, Author              
Affiliations:
1Max Planck Research Group Neural Systems Analysis, Center of Advanced European Studies and Research (caesar), Max Planck Society, ou_2173683              

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 Dates: 2018-01-01
 Publication Status: Published online
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 Rev. Method: Peer
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Title: Advances in Neural Information Processing Systems 30: 31st Conference on Neural Information Processing Systems (NIPS 2017)
Place of Event: Montreal, canade
Start-/End Date: 2017-12-03 - 2017-12-08

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Title: Advances in Neural Information Processing Systems 30 (NIPS 2017)
Source Genre: Proceedings
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Pages: - Volume / Issue: 30 Sequence Number: - Start / End Page: - Identifier: -