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  Bivariate cumulative probit model for the comparison of neuronal encoding hypotheses

Hillmann, J., Kneib, T., Koepcke, L., Juárez Paz, L. M., & Kretzberg, J. (2014). Bivariate cumulative probit model for the comparison of neuronal encoding hypotheses. Biometrical Journal, 56, 23-43. doi:10.1002/bimj.201200161.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-002A-EECB-5 Version Permalink: https://hdl.handle.net/11858/00-001M-0000-002A-EECC-3
Genre: Journal Article

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 Creators:
Hillmann, Julia1, Author           
Kneib, Thomas, Author
Koepcke, Lena, Author
Juárez Paz, León M., Author
Kretzberg, Jutta, Author
Affiliations:
1Theoretical neuroscience, Max Planck Institute of Experimental Medicine, Max Planck Society, ou_2173674              

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Free keywords: Computational neuroscience; Latent variables; MCMC; P-Splines; Stimulus reconstruction
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Language(s): eng - English
 Dates: 2014
 Publication Status: Issued
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 Rev. Type: Peer
 Identifiers: eDoc: 695189
DOI: 10.1002/bimj.201200161
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Title: Biometrical Journal
Source Genre: Journal
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Pages: - Volume / Issue: 56 Sequence Number: - Start / End Page: 23 - 43 Identifier: -