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  Statistical Modelling of Psychophysical Data

Macke, J. (2013). Statistical Modelling of Psychophysical Data. Talk presented at 36th European Conference on Visual Perception (ECVP 2013). Bremen. Germany.

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Item Permalink: http://hdl.handle.net/21.11116/0000-0001-54F6-B Version Permalink: http://hdl.handle.net/21.11116/0000-0001-54F8-9
Genre: Talk

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http://journals.sagepub.com/toc/pec/42/1_suppl (Publisher version)
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 Creators:
Macke, JH1, 2, Author              
Affiliations:
1Research Group Computational Vision and Neuroscience, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497805              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794              

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 Abstract: In this tutorial, we will discuss some statistical techniques that one can use in order to obtain a more accurate statistical model of the relationship between experimental variables and psychophysical performance. We will use models which include the effect of additional, non-stimulus determinants of behaviour, and which therefore give us additional flexibility in analysing psychophysical data. For example, these models will allow us to estimate the effect of experimental history on the responses on an observer, and to automatically correct for errors which can be attributed to such history-effects. By reanalysing a large data-set of low-level psychophysical data, we will show that the resulting models have vastly superior statistical goodness of fit, give more accurate estimates of psychophysical functions and allow us to detect and capture interesting temporal structure in psychophysical data. In summary, the approach presented in this tutorial does not only yield more accurate models of the data, but also has the potential to reveal unexpected structure in the kind of data that every visual scientist has plentiful-- classical psychophysical data with binary responses.

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 Dates: 2013-08
 Publication Status: Published in print
 Pages: -
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 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1177/03010066130420S101
 Degree: -

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Title: 36th European Conference on Visual Perception (ECVP 2013)
Place of Event: Bremen. Germany
Start-/End Date: -
Invited: Yes

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Title: Perception
Source Genre: Journal
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Publ. Info: London : Pion Ltd.
Pages: - Volume / Issue: 42 (ECVP Abstract Supplement) Sequence Number: B8 Start / End Page: 4 Identifier: ISSN: 0301-0066
CoNE: https://pure.mpg.de/cone/journals/resource/954925509369