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A computational analysis of the neural bases of Bayesian inference.
Kolossa A, Kopp B, Fingscheidt T. Kolossa A, et al. Neuroimage. 2015 Feb 1;106:222-37. doi: 10.1016/j.neuroimage.2014.11.007. Epub 2014 Nov 8. Neuroimage. 2015. PMID: 25462794
Mind the Noise When Identifying Computational Models of Cognition from Brain Activity.
Kolossa A, Kopp B. Kolossa A, et al. Front Neurosci. 2016 Dec 27;10:573. doi: 10.3389/fnins.2016.00573. eCollection 2016. Front Neurosci. 2016. PMID: 28082857 Free PMC article.
P300 amplitude variations, prior probabilities, and likelihoods: A Bayesian ERP study.
Kopp B, Seer C, Lange F, Kluytmans A, Kolossa A, Fingscheidt T, Hoijtink H. Kopp B, et al. Among authors: kolossa a. Cogn Affect Behav Neurosci. 2016 Oct;16(5):911-28. doi: 10.3758/s13415-016-0442-3. Cogn Affect Behav Neurosci. 2016. PMID: 27406085
A model-based approach to trial-by-trial p300 amplitude fluctuations.
Kolossa A, Fingscheidt T, Wessel K, Kopp B. Kolossa A, et al. Front Hum Neurosci. 2013 Feb 8;6:359. doi: 10.3389/fnhum.2012.00359. eCollection 2012. Front Hum Neurosci. 2013. PMID: 23404628 Free PMC article.
Data quality over data quantity in computational cognitive neuroscience.
Kolossa A, Kopp B. Kolossa A, et al. Neuroimage. 2018 May 15;172:775-785. doi: 10.1016/j.neuroimage.2018.01.005. Epub 2018 Jan 10. Neuroimage. 2018. PMID: 29329978
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