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If a participant's recalled sequence had a pair in the right order (e.g., for the A-B pair, A was ordered before B), that pair was given a 0. If the participant recalled a pair in the wrong order, that pair was given a 1 (e.g., for the A-B pair, A was ordered after B).
Prior to the functional run, a high-resolution T1structural image for each subject was acquired using a three-dimensional MRI sequence with a voxel size of 1 mm3 employing an axial fast spoiled gradient recalled sequence (TR = 1900 ms, TE = 2.26 ms, data matrix = 256 × 256, flip angle = 9°, FOV = 256 mm × 256 mm).
The recalled sequence was decoded by using input visual features in terms of temporal coding.
Each 1-hour session consisted of a 3-plane scout scan (10 seconds), a standard anatomical protocol (i.e., a sagittally acquired spoiled gradient recalled sequence) (FOV = 25 cm, matrix = 192×256, 172 sagittally acquired slices 1-mm thick, TR = 8 ms, TE = 3 ms, flip angle = 12°).
T1-weighted volumetric MR scans were obtained on a 1.5-T General Electric (Milwaukee, WI) Signa scanner using an inversion recovery-prepared fast spoiled gradient recalled sequence, with a 24-cm field of view and 256 × 256 matrix providing 124 contiguous 1.5-mm-thick slices in the coronal plane.
Cartilage volume and structural changes were evaluated using the following sequences: (1) three-dimensional spoiled gradient recalled sequence (SPGR) with fat suppression, (2) T1-weighted three-dimensional fast gradient recalled echo (T1w-GRE), and (3) T2-weighted fast spin echo sequence with fat saturation (T2w-FS).
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Functional imaging consisted of an echo planar imaging, gradient recalled echo sequence (repetition time = 3600 ms, echo time = 50 ms, flip = 90°; matrix = 64 × 64).
A field map scan (double-echo FLASH (gradient recalled echo) sequence with TE1 = 10 ms, TE2 = 12.46 ms; 3 × 3 × 2-mm resolution with 1-mm gap) was also acquired.
We then apply the proposed method on an electrocorticography dataset to understand how human brains recall sequences of words.
"We show how a network of neurons with this property will learn and recall sequences of patterns," they say.
iPhone / iPad A Life Worth Dying For (£1.99) This might not be a massive hit, but it's the most inventive app idea this week: a puzzle game built around video flashbacks chosen from developer Mutlu Isik's own home videos, where you have to trigger new memories by recalling sequences of cues.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com