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  Unlocking neural population non-stationarities using hierarchical dynamics models

Park, M., Bohner, G., & Macke, J. H. (2016). Unlocking neural population non-stationarities using hierarchical dynamics models. In C. Cortes (Ed.), Advances in Neural Information Processing Systems 28 (NIPS 2015).

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-002B-575E-0 Version Permalink: https://hdl.handle.net/11858/00-001M-0000-002B-575F-E
Genre: Conference Paper

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5790-unlocking-neural-population-non-stationarities-using-hierarchical-dynamics-models.pdf (Publisher version), 1017KB
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 Creators:
Park, Mijung, Author
Bohner, Gergo, 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: 2016-02-01
 Publication Status: Published online
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 Rev. Type: Peer
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Title: Advances in Neural Information Processing Systems 28: 29th Conference on Neural Information processing Systems (NIPS2015)
Place of Event: Montréal, Canada
Start-/End Date: 2015-12-07 - 2015-12-12

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Title: Advances in Neural Information Processing Systems 28 (NIPS 2015)
Source Genre: Proceedings
 Creator(s):
Cortes, C., Editor
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Pages: - Volume / Issue: 28 Sequence Number: 5790 Start / End Page: - Identifier: -