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03_cogdataset/index.html

@@ -377,7 +377,7 @@ <h4 id="mrct-data"><strong>MR/CT Data</strong></h4>
 <h2 id="data-acquisition">Data Acquisition</h2>
 <p>The Cogitate dataset encompasses three distinct neuroimaging modalities, along with synchronized eye-tracking and behavioral data linked to each of these modalities. Here we detail the acquisition protocol for each modality in the corresponding data release: M-EEG, iEEG</p>
 <h3 id="stimuli">Stimuli</h3>
-<p>Stimuli belonged to four categories that naturally fell into two groups that were clearly distinct from each other: pictures (20 faces and 20 objects) and symbols (20 letters and 20 false-fonts). Face stimuli were created using the FaceGen Modeler 3.1 program and object stimuli were taken from the Object Databank (Tarr, 1996). Faces and objects were grey-scaled (RGB: 125, 125, 125), and manipulated to have similar size and equal luminance using the SHINE toolbox (Willenbockel et al., 2010). Equal proportions of male and female faces were presented. They all had hair and belonged to different ethnicities (e.g., Caucasian, Asian, African, American) to facilitate face individuation. The orientation of the stimuli was manipulated, such that half of the stimuli from each category had a side view and the other half a front view. All letter stimuli and false fonts were generated with MAXON CINEMA 4D Studio (RC-R20) 20.059 on macOS 10.14, appearing in gray (RGB: 125, 125, 125). Three views were rendered for each font set (real font, false/pseudo font) at 0°, 30° and -30° horizontal viewing angle with the following settings: Extrusion depth 9.79% of character height, camera distance 5.65 times character height and 18° above the center of the letter (High Angle), with a simulated focal length of 135 mm (35 mm equiv.). All stimuli were presented on a rectangular aperture at an average visual angle of 6 ̊ by 6 ̊.</p>
+<p>Stimuli belonged to four categories that naturally fell into two groups that were clearly distinct from each other: pictures (20 faces and 20 objects) and symbols (20 letters and 20 false-fonts). Face stimuli were created using the FaceGen Modeler 3.1 program and object stimuli were taken from the Object Databank (Tarr, 1996). Faces and objects were grey-scaled (RGB: 125, 125, 125), and manipulated to have similar size and equal luminance using the SHINE toolbox (Willenbockel et al., 2010). Equal proportions of male and female faces were presented. They all had hair and belonged to different ethnicities (e.g., Caucasian, Asian, African, American) to facilitate face individuation. The orientation of the stimuli was manipulated, such that half of the stimuli from each category had a side view (30° and -30°) and the other half a front view (0°). All letter stimuli and false fonts were generated with MAXON CINEMA 4D Studio (RC-R20) 20.059 on macOS 10.14, appearing in gray (RGB: 125, 125, 125). Three views were rendered for each font set (real font, false/pseudo font) at 0°, 30° and -30° horizontal viewing angle with the following settings: Extrusion depth 9.79% of character height, camera distance 5.65 times character height and 18° above the center of the letter (High Angle), with a simulated focal length of 135 mm (35 mm equiv.). All stimuli were presented on a rectangular aperture at an average visual angle of 6 ̊ by 6 ̊.</p>
 <h3 id="procedure">Procedure</h3>
 <table>
 <thead>

index.html

@@ -202,5 +202,5 @@ <h1 id="welcome-to-the-cogitate-data-release-documentation">Welcome to the Cogit
 
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