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Urai AE, Braun A, Donner THD. (2017) Pupil-linked arousal is driven by decision uncertainty and alters serial choice bias. Nature Communications, 8: 14637.
Version 8 2018-08-10, 12:22Version 8 2018-08-10, 12:22
Version 7 2017-03-03, 12:44Version 7 2017-03-03, 12:44
Version 6 2017-01-05, 09:46Version 6 2017-01-05, 09:46
Version 5 2017-01-02, 16:20Version 5 2017-01-02, 16:20
Version 4 2017-01-02, 15:18Version 4 2017-01-02, 15:18
Version 3 2017-01-02, 12:38Version 3 2017-01-02, 12:38
Version 2 2017-01-02, 11:26Version 2 2017-01-02, 11:26
Version 1 2016-12-27, 17:10Version 1 2016-12-27, 17:10
dataset
posted on 2018-08-10, 12:22authored byAnne UraiAnne Urai, Anke Braun, Tobias Donner
This is the data to replicate all analyses from Urai AE, Braun A, Donner THD. (2017) Pupil-linked arousal is driven by decision uncertainty and alters serial choice bias. Nature Communications, 8: 14637.
See https://github.com/anne-urai/pupilUncertainty for the analysis code, including detailed instructions for replicating the figures from the manuscript.
You probably only want to use 2ifc_data_allsj.csv. Column names:
stim: generative stimulus identity, i.e. 'weaker' (-1) vs 'stronger' (+1)
coherence: generative coherence difference from reference
Note: a column stim * coherence will get you the signed motion coherence, that is most useful for generating regular choice-based psychometric functions.
difficulty: level of difficulty within the session; see 'Task and procedure' in the Methods section.
motionstrength: the estimated motion energy in each generated video. Correlates highly with stim*coherence, as shown in Figure 2c
resp: response of the subject
rt: reaction time, after offset of the second stimulus
correct: feedback given
correctM: feedback that should have been given, had the exact stimulus identity been based on the motion energy filtered values (rather than the generative values)
trialnr within each block
blocknr within each session
sessionnr within each sj
subjnr participant ID
baseline_pupil, decision_pupil, feedback_pupil, trialend_pupil, response_pupil: pupil dilation at various epochs during the trial
int1motion, int2motion: filtered motion energy values during the reference and test interval. Their difference generates the motionstrength column.