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  A Bayesian model for identifying hierarchically organised states in neural population activity

Putzky, P., Franzen, F., Bassetto, G., & Macke (2015). A Bayesian model for identifying hierarchically organised states in neural population activity. In Advances in Neural Information Processing Systems 27 (NIPS 2014) (pp. 3095-3103).

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5338-a-bayesian-model-for-identifying-hierarchically-organised-states-in-neural-population-activity.pdf (Publisher version), 2MB
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Putzky, Patrik, Author
Franzen, Florian1, Author
Bassetto, Giacomo, Author
Macke1, Author
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1External Organizations, ou_persistent22              

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 Dates: 2015-02-01
 Publication Status: Issued
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 Rev. Type: Peer
 Identifiers: Other: 5338
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Title: Advances in Neural Information Processing Systems 27: 28th Annual Conference on Neural Information Processing Systems (NIPS 2014)
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Title: Advances in Neural Information Processing Systems 27 (NIPS 2014)
Source Genre: Proceedings
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Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 3095 - 3103 Identifier: -