DOI: 10.6084/m9.figshare.14035935
title: Behavioral and Eye-tracking Data for Adaptive Circuit Dynamics Across Human Cortex During Evidence Accumulation in Changing Environments

description: This dataset contains behavioural and eye-tracking data for:<br>Murphy PR, Wilming N, Hernandez Bocanegra DC, Prat Ortega G & Donner TH (2021). Adaptive circuit dynamics across human cortex during evidence accumulation in changing environments. <em>Nature Neuroscience</em>. Online ahead of print.<br><br> Each .zip file contains all data for a single participant and is organized as follows: data from each experimental session are contained in their own folder (<i>S1</i>, <i>S2</i>, etc.); each session folder in turn contains separate <i>Sample_seqs</i>, <i>Behaviour</i> and <i>Eyetracking</i> subfolders.<br> The <i>Sample_seqs</i> folder contains Matlab .mat files (labelled <i>ID_SESS_BLOCK.mat</i>, where ID is the participant ID, SESS is the experimental session and BLOCK is the block number within that session) with information about the trial-specific stimulus sequences presented to the participant. The variables in each of these files are: <i>gen</i> – structure containing the generative statistics of the task <i>stim</i> – structure containing details about the physical presentation of the stimuli (see task script on Donnerlab Github for explanation of these) <i>timing</i> – structure containing details about the timing of stimulus presentation (see task script on Donnerlab Github for explanation of these) <i>pshort</i> – proportion of trials with stimulus sequences that were shorter than the full sequence length <i>stimIn</i> – trials*samples matrix of stimulus locations (in polar angle with horizontal midline = 0 degrees; <i>NaN</i> marks trials sequences that were shorter than the full sequence length) <i>distseqs</i> – trials*samples matrix of which generative distribution was used to draw each sample location <i>pswitch</i> – trials*samples matrix of binary flags marking when a switch in generative distribution occurred<br> The <i>Behaviour</i> folder contains Matlab .mat files (same naming scheme as above) with information about the behaviour produced by the participant on each trial of the task. The main variable in each file is a matrix called <i>Behav</i> for which each row is a trial and columns are the following: column 1 – the generative distribution used to draw the final sample location on each trial (and thus, the correct response) column 2 – the response given by the participant column 3 – the accuracy of the participant’s response column 4 – response time relative to Go cue column 5 – trial onset according to psychtoolbox clock column 6 – number of times participant broke fixation during trial, according to online detection algorithm Each .mat file also contains a trials*samples matrix (<i>tRefresh</i>) of the timings of monitor flips corresponding to the onsets of each sample (and made relative to trial onset), as provided by psychtoolbox.<br> The <i>Eyetracking</i> folder contains both raw Eyelink 1000 (SR Research) .edf files, and their conversions to .asc text files using the manufacturer’s edf2asc utility (same naming scheme as above). For stimulus and response trigger information, see task scripts on Donnerlab Github.<br>.zip file names ending in <i>_2.zip</i> correspond to the four participants from Experiment 2 of the paper, for whom sample-onset-asynchrony (SOA) was manipulated across two conditions (0.2 vs 0.6 s). All other participants are from Experiment 1, where SOA was fixed at 0.4 s.<br>For example code for analyzing behaviour, fitting behavioural models, and analyzing pupil data, see https://github.com/DonnerLab/2021_Murphy_Adaptive-Circuit-Dynamics-Across-Human-Cortex.