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Measuring visual processing speed using ERPs: a few bumps in the road (low-level factors, filtering, statistics & individual differences)| old_uid | 11897 |
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| title | Measuring visual processing speed using ERPs: a few bumps in the road (low-level factors, filtering, statistics & individual differences) |
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| start_date | 2012/11/30 |
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| schedule | 11h-12h |
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| online | no |
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| summary | In this talk I will describe some attempts at measuring the speed of visual processing using a very constrained setting: human subjects look at briefly presented simplified pictures of object categories (e.g. faces, houses, textures) while we record their EEG. Even in these simplified conditions, estimating when ERPs to different categories differ from each other is not a trivial task. I will describe several issues that must be addressed, including: control for low-level differences among picture categories, ERP filtering distortions, control for multiple comparisons, statistical power, group vs. single-subject analyses, test-retest reliability. Other factors such as screen luminance and subjects' age can dramatically affect processing speed. Beyond reporting when ERPs differ, I will describe different ways to quantify by how much they differ - the effect sizes, and how they differ - how the ERP distributions change between two conditions. Finally, I will discuss why we should go Bayesian to estimate the time course of visual processing. |
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| responsibles | Pélissier |
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