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Record W2789679782 · doi:10.21037/aes.2018.ab048

AB048. Pre-saccadic attentional facilitation is influenced by irrelevant post-saccadic changes

2018· article· en· W2789679782 on OpenAlexaff
Maxime Bleau, Anne-Sophie Laurin, Anton Malienko, Trang Tran, Laure Pisella, Aarlenne Z. Khan

Bibliographic record

VenueAnnals of Eye Science · 2018
Typearticle
Languageen
FieldNeuroscience
TopicOlfactory and Sensory Function Studies
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsSaccadic maskingFacilitationNeurosciencePsychologyEye movement

Abstract

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Background: Many studies have shown that attention is shifted toward the goal of the upcoming saccade. It has been suggested that the purpose of this attentional shift is to aid in trans-saccadic integration by acting as a ‘pointer’ (Cavanagh, Hunt, Afraz & Rolfs, 2010) for remembering, processing and updating objects across saccadic eye movements (Rolfs, Jonikaitis, Deubel & Cavanagh, 2011). We tested this hypothesis that pre-saccadic attentional facilitation acts as a pointer for trans-saccadic integration by investigating how irrelevant post-saccadic changes influenced pre-saccadic attentional discrimination. On one hand, if pre-saccadic attentional facilitation is an independent process involved only in enhancing peripheral information before the saccade, then manipulating visual information (absence or shift) after the saccade should have no influence on discrimination. On the other hand, if pre-saccadic attentional facilitation is involved in trans-saccadic integration, changes in visual information should influence discrimination of the pre-saccadic information. Methods: We tested different conditions involving different post-saccadic changes. In the baseline condition, participants made a saccade at the appearance of an arrow and discriminated a symbol (DS) that was presented briefly before the saccade at one of six peripheral locations. The symbol was masked thereafter with a figure 8, which remained till the end of the trial. Importantly, the DS was always presented while participants were fixating at center, and only the figure 8 was present at the end of the saccade. Participants were instructed to make the saccade then report the identity of the DS (4AFC). We then tested how blanking post-saccadic information [blanking of the saccade goal (SG) location, DSOff condition; of the entire visual scene including or excluding the SG location, AllOff and DSOnly conditions] and how displacement of the figure 8s after the saccade would affect performance. Results: We observed that discrimination performance was significantly lower when the SG location disappeared during the saccade and was no longer present when the saccade was completed (DSOff, –6.9%). This decrease in performance cannot be attributed to changes in the visual scene that may have drawn attention, as this was the case for all conditions; performance was not different when the entire visual scene was blanked (AllOff, –0.0%) or when only the DS remained (DSOnly, –1.6%). We also found that the performance decreased as a function of the displacement of the figure 8 from the SG location, particularly if it was displaced outside of the saccade landing zone. Conclusions: Based on these pattern of results, we suggest that pre-saccadic attentional facilitation is indeed involved in trans-saccadic integration by acting as a location marker or pointer. The lack of a visual target at the saccade goal, even if it is irrelevant to the pre-saccadic discrimination task, disrupted performance.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.021
Threshold uncertainty score0.069

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0210.002

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.171
GPT teacher head0.366
Teacher spread0.194 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2018
Admission routes1
Has abstractyes

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