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In the cited paper their methodology is explained in the Materials and Methods section on p.209, where it says: Fig. 4 shows the norm of the CoP during the experiment [...] which are represented by spikes in the norm of the CoP [...] In order to characterize the movement properties of the CoP, we have computed the corresponding spectra over the ...


4

The purpose of unbiased hit rate is to avoid invalid conclusions in cases where subjects indiscriminately use one (or only few) response options. To give an example (responses in rows, stimuli in columns): Happy Sad Angry Fearful Happy 1 0 0 1 Sad 7 8 6 5 Angry 0 0 0 0 ...


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I've been interested in this issue from another direction, namely, in how to model the acquisition of hierarchically decomposeable behaviors of the type you describe; and how these behaviors, once acquired, can be used as 'high order primitives' to bootstrap other learning. This is an important issue for artificial intelligence and machine learning, in ...


4

As far as I know, short answer is no - there is no gold standard for EEG files. But EEG is a time series (amplitude) from several channels. So the most common way to represent it is columns as electrodes and rows as points of time. I think almost all software is possible to read such structure as txt file. But EEG is not only time series. Usually it is ...


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Gailliot et al (2007), didn't do it with a memorization task, but with a variety of other tasks requiring self-control: The present work suggests that self-control relies on glucose as a limited energy source. Laboratory tests of self-control (i.e., the Stroop task, thought suppression, emotion regulation, attention control) and of social behaviors (i.e., ...


3

Based on the Anderson cite, I'm assuming you've looked a bit more at the ACT-R literature-- task analysis is a common prerequisite for creating ACT-R models and you'll find lots of tasks modeled as a series of sub-tasks in a goal hierarchy. Offhand, though, I don't know any ACT-R articles that look specifically at your question of interest... On a different ...


2

You talk about the challenge of the variability in EEG data formats --- While I am (unfortunately) not aware of a standard EEG data format, there are attempts to standardize the way that EEG data could be shared: The Brain Imaging Data Structure (BIDS) tries to clarifying the structure of directories and meta data necessary when sharing neuro-imaging data. ...


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Another paper that might be relevant is Vohs and Heatherton (2000). They examined self-regulation failure in a group of dieters and non-dieters. The idea behind their study was that dieters would have an increased incidence of self-regulation failure because they must consistently maintain self control around food. In one of the studies they had a low ...


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Short answer Averaging psychometric curves may not be the preferred way to pool psychophysical data. background Typically, extracted gold-standard outcome measures from the psychometric curves will be pooled and averaged to perform statistical analyses and so on. For example, in the visual sciences a much-used outcome measure is the visual acuity where, ...


1

If the question is 'Will it start to rain based on this cloud cover?' and the answer is a binary 'yes' or 'no' and the subsequent question is 'How sure are you about that?', then the answer to your question Does the confidence rating reflect their estimate of likelihood of rain, or rather the likelihood that the choice is correct? is the latter: it ...


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This overlaps a lot with these two questions: So check them out How to measure group differences incorporating reaction time / accuracy trade-off? How to analyze reaction times and accuracy together? Regarding some specifics of your question, reaction time variance will often be strongly correlated with reaction time mean. So in routine measures of ...


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