Expectancies influence attention to neutral but not necessarily to threatening stimuli: An fMRI study.
Bibliographic record
Abstract
Recent behavioral observations suggest an influence of prior expectancies on attention to neutral targets, whereas the detection of threatening targets remains comparably immune to these expectancies. The origin of this asymmetry, however, remains unclear. Here, therefore, we investigated its neural basis by using fMRI. Specifically, we tested whether, in accordance with the idea of a resetting attentional system during phylogenetic threat detection, neural responses for threatening compared with neutral targets would remain largely unaffected by prior expectancies. Alternatively, neural responses could reflect equally strong expectancy influences on both types of targets, with the respective patterns differing, thereby producing the asymmetric effect observed in behavior. Predictive cues in our study evoked specific behavioral and neural expectancy states and effectively modulated response latencies to detect neutral (bird) targets in a 3 × 3 visual search matrix: When threat-related (spider) rather than neutral targets were expected, bird detection was considerably slowed, and the neural response to expected birds differed from that to unexpected birds. Conversely, and in line with the hypothesis of a resetting attentional system for phylogenetic threat, expectancy cues had no impact on RTs or neural responses for spider targets-either in spider phobic participants or in non-spider-fearful control participants. Our data support the idea of bottom-up enhancement of threat-related information through processing pathways unaffected by top-down modulatory influences such as expectancy. These pathways may subserve rapid and comparably automatic responding to threat stimuli by safeguarding independence from more controlled and explicit expectancies, consequently promoting adaptive behavior and survival. (PsycINFO Database Record (c) 2019 APA, all rights reserved).
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".