2011
DOI: 10.1016/j.neuroimage.2011.02.005
|View full text |Cite
|
Sign up to set email alerts
|

de Bruijn cycles for neural decoding

Abstract: Stimulus counter-balance is critical for studies of neural habituation, bias, anticipation, and (more generally) the effect of stimulus history and context. We introduce de Bruijn cycles, a class of combinatorial objects, as the ideal source of pseudo-random stimulus sequences with arbitrary levels of counter-balance. Neuro-vascular imaging studies (such as BOLD fMRI) have an additional requirement imposed by the filtering and noise properties of the method: only some temporal frequencies of neural modulation … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

0
54
0

Year Published

2014
2014
2023
2023

Publication Types

Select...
6
3

Relationship

0
9

Authors

Journals

citations
Cited by 82 publications
(54 citation statements)
references
References 27 publications
0
54
0
Order By: Relevance
“…Second, functional runs consisted of 5 presentations of each event as well as 6 self-paced perceptual baseline trials. Third, de Bruijn sequences were used for stimulus ordering (Aguirre et al, 2011). A unique sequence was used for each run (randomized across subjects), and we selected sequences that ended with perceptual baseline trials to allow the hemodynamic response of the 2nd to last trial of the run to approach baseline prior to run completion.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…Second, functional runs consisted of 5 presentations of each event as well as 6 self-paced perceptual baseline trials. Third, de Bruijn sequences were used for stimulus ordering (Aguirre et al, 2011). A unique sequence was used for each run (randomized across subjects), and we selected sequences that ended with perceptual baseline trials to allow the hemodynamic response of the 2nd to last trial of the run to approach baseline prior to run completion.…”
Section: Methodsmentioning
confidence: 99%
“…A unique sequence was used for each run (randomized across subjects), and we selected sequences that ended with perceptual baseline trials to allow the hemodynamic response of the 2nd to last trial of the run to approach baseline prior to run completion. Carry-over sequences, such as de Bruijn sequences, match the number of times that each stimulus precedes every other stimulus, thus controlling for stimulus carry-over effects and theoretically increasing the detection power in between-run pattern analysis (Aguirre, 2007; Aguirre et al, 2011). The length of carry-over sequences was prohibitively large for Experiment 1, but the reduction of stimulus conditions allowed an entire de Bruijn sequence to be presented within a short run (for an argument for using short runs for pattern analysis see: Coutanche and Thompson-Schill, 2012; Davis and Poldrack, 2013).…”
Section: Methodsmentioning
confidence: 99%
“…This allowed us to measure both fMRI adaptation and the direct effect for each item in a continuous sequence. The order of the stimuli was determined using a de Bruijn sequence (Aguirre et al, 2011). Given the nine stimuli and a null-trial, a k=10, n=3 de Bruijn sequence was sought, using a trial duration of 1600 ms, and three separate neural models (i.e., value, color and shape) (Fig.…”
Section: Methodsmentioning
confidence: 99%
“…There were 9 trials for each task instruction within a block, with each task instruction presented in a pseudo-randomized, counterbalanced order using De Bruijn sequences for each block 31 .…”
Section: Methodsmentioning
confidence: 99%