The Short-term Temporal Dynamics of the Face Identity After-effect: an Adaptation-Interference Study
Bibliographic record
Abstract
BACKGROUND: The duration of aftereffects depends on the adaptation duration, the time lag between adapting and test stimuli, and the duration of the test stimuli. However, while there is data suggesting that face aftereffects may last days, not much is known about the short-term temporal decay of aftereffects and the influence of intervening stimuli. OBJECTIVE: Our goal was to investigate the magnitude of face identity aftereffects across variable delay periods and to determine the effects of other faces during these intervals. METHODS: In Experiment 1, subjects performed a face adaptation task, in which an adaptor period was followed by a 150ms ‘interference’ interval, and then the ambiguous probe image. There were three conditions: 1) faces in the adaptor period, blank in the interference interval, 2) adapting face in the adaptor period, opposing face in the interference interval, and 3) a face in the interference interval, no stimulus in the adapting period. In Experiment 2, subjects performed a similar task, but with interference intervals of 300ms, 1500ms, and 3000ms, and unrelated faces as interfering stimuli. RESULTS: Experiment 1 showed that a brief 150ms presentation of a face caused a slight attractive aftereffect of about 13%, while the adaptor stimulus alone caused a repulsive aftereffect of 27%. Having the interference face follow the adaptor did not decrease the aftereffect, though variance was substantially increased. Experiment 2 showed that the aftereffect of adaptors alone showed a trend to decrease by about half over 3000ms, from 23% to 12%. A face in the interference interval caused aftereffects to decline by about half, to 11%, for the 300ms interval, but had no effect in longer intervals. CONCLUSION: These results show there is a modest but rapid short-term decline in the magnitude of the face identity aftereffect, and that a following face may accelerate this decline. Meeting abstract presented at VSS 2013
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| 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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".