Frontal and parietal EEG asymmetries interact to predict attentional bias to threat

Frontal and parietal electroencephalographic (EEG) asymmetries mark vulnerability to depression and anxiety. Drawing on cognitive theories of vulnerability, we hypothesise that cortical asymmetries predict attention to threat. Participants completed a dot-probe task in which bilateral face displays were followed by lateralised targets at either short (300 ms) or long (1050 ms) SOA. We also measured N2pc to face onset as an index of early attentional capture. At long SOA only, frontal and parietal asymmetry interacted to predict attentional bias to angry faces. Those with leftward frontal asymmetry showed no attentional bias. Among those with rightward frontal asymmetry those with low right parietal activity showed vigilance for threat, and those with high right parietal activity showed avoidance. Asymmetry was not related to the N2pc or to attentional bias at the short SOA. Findings suggest that trait asymmetries reflect function in a fronto-parietal network that controls attention to threat.     

Blur detection is unaffected by cognitive load

Blur detection is affected by retinal eccentricity, but is it also affected by attentional resources? Research showing effects of selective attention on acuity and contrast sensitivity suggests that allocating attention should increase blur detection. However, research showing that blur affects selection of saccade targets suggests that blur detection may be pre-attentive. To investigate this question, we carried out experiments in which viewers detected blur in real-world scenes under varying levels of cognitive load manipulated by the N-back task. We used adaptive threshold estimation to measure blur detection thresholds at 0°, 3°, 6°, and 9° eccentricity. Participants carried out blur detection as a single task, a single task with to-be-ignored letters, or an N-back task with four levels of cognitive load (0, 1, 2, or 3-back). In Experiment 1, blur was presented gaze-contingently for occasional single eye fixations while participants viewed scenes in preparation for an easy picture recognition memory task, and the N-back stimuli were presented auditorily. The results for three participants showed a large effect of retinal eccentricity on blur thresholds, significant effects of N-back level on N-back performance, scene recognition memory, and gaze dispersion, but no effect of N-back level on blur thresholds. In Experiment 2, we replicated Experiment 1 but presented the images tachistoscopically for 200 ms (half with, half without blur), to determine whether gaze-contingent blur presentation in Experiment 1 had produced attentional capture by blur onset during a fixation, thus eliminating any effect of cognitive load on blur detection. The results with three new participants replicated those of Experiment 1, indicating that the use of gaze-contingent blur presentation could not explain the lack of effect of cognitive load on blur detection. Thus, apparently blur detection in real-world scene images is unaffected by attentional resources, as manipulated by the cognitive load produced by the N-back task.     

Conflict detection,dual processes,and logical intuitions: Some clarifications

Recent studies on conflict detection during thinking suggest that reasoners are sensitive to possible conflict between their heuristic judgement and elementary logical or probabilistic principles. I have argued that this conflict sensitivity calls for the postulation of logical intuitions and has implications for the way we conceive the interaction between System-1 and System-2 in dual process theories. In this paper I clarify potential misconceptions about this work, discuss the link with other approaches, and sketch directions for further research.     

Metacognitive sensitivity of subjective reports of decisional confidence and visual experience

Previous studies provided contradicting results regarding metacognitive sensitivity estimated from subjective reports of confidence in comparison to subjective reports of visual experience. We investigated whether this effect of content of subjective reports is influenced by the statistical method to quantify metacognitive sensitivity. Comparing logistic regression and meta-d in a masked orientation task, a masked shape task, and a random-dot motion task, we observed metacognitive sensitivity of reports regarding decisional confidence was greater than of reports about visual experience irrespective of mathematical procedures. However, the relationship between subjective reports and the logistic transform of accuracy was often not linear, implying that logistic regression is not a consistent measure of metacognitive sensitivity. We argue that a science of consciousness would benefit from the assessment of both visual experience and decisional confidence, and recommend meta-d as measure of metacognitive sensitivity for future studies.     

Nonspatial attentional capture by previously rewarded scene semantics

Recent research has shown that reward influences visual perception and cognition in a way that is distinct from the well-documented goal-directed mechanisms. In the current study we explored how task-irrelevant stimulus-reward associations affect processing of stimuli when attention is constrained and reward no longer delivered. During a training phase, participants performed a choice game, exposing them to different reward schedules for different semantic categories of natural scene pictures. In a separate test session in which no additional reward was provided, the differentially rewarded scene categories were used as task-irrelevant non-targets in a rapid serial visual presentation (RSVP) task. Participants performed a detection task on a previously non-rewarded target category. Results show that participants' sensitivity index (d′) for target detection decreased as a function of whether the reward was coupled to the distractor category during training. The semantic category of natural scenes associated with high reward caused more interference in target detection than the semantic category associated with a low reward. The same was found when new, unseen distractor pictures of the same semantic categories were used. The present findings suggest that reward can be selectively associated with high level scene semantics. We argue that learned stimulus-reward associations persistently bias perceptual processing independently of spatial shifts in attention and the immediate prospect of reward.     

Invisible Stimuli,Implicit Thresholds: Why Invisibility Judgments Cannot be Interpreted in Isolation

Some studies of unconscious cognition rely on judgments of participants stating that they have “not seen” the critical stimulus (e.g., in a masked-priming experiment). Trials in which participants gave invisibility judgments are then treated as those where the critical stimulus was “subliminal” or “unconscious,” as opposed to trials with higher visibility ratings. Sometimes, only these trials are further analyzed, for instance, for unconscious priming effects. Here I argue that this practice requires implicit assumptions about subjective measures of awareness incompatible with basic models of categorization under uncertainty (e.g., modern signal-detection and threshold theories). Most importantly, it ignores the potential effects of response bias. Instead of taking invisibility judgments literally, they would better be employed in parametric experiments where stimulus visibility is manipulated systematically, not accidentally. This would allow studying qualitative and double dissociations between measures of awareness and of stimulus processing per se.     

人工语法学习中习得知识的分离:基于信号检测论和结构知识的视角

习得知识的意识觉知问题一直以来是内隐学习领域的研究热点和难点。以加工分离程序来分解击中率和虚报率、以结构知识中意识和无意识测量为视角,采用2（测验方式：SDTT,SKT）×2（学习程度：30试次,60试次）混合设计,试图去分离人工语法学习中习得的意识知识和无意识知识。结果发现：（1）学习程度影响到习得的无意识知识,但还未影响到习得的意识知识;（2）在分离人工语法学习的习得知识上,SDTT的敏感性高于SKT;（3）SKT夸大了元认知中的意识成分。     

Using automatic face analysis to score infant behaviour from video collected online

Online testing of infants by recording video with a webcam has the potential to improve the replicability of developmental studies by facilitating larger sample sizes and by allowing methods (including recruitment) to be specified in code. However, the recorded video still needs to be manually scored. This labour-intensive process puts downward pressure on sample sizes and requires subjective judgements that may not be reproducible in a different laboratory. Here we present the first fully automatic pipeline, using a face analysis software-as-a-service and a discriminant-analysis classifier to score infant videos acquired online. We compare human and machine performance for looking time and preferential looking paradigms; machine performance demonstrates a promising proof of principle for looking time and is above chance in classifying preferential looking. Additionally, we studied the characteristics of the video and the child that influenced automated scoring, so that future studies can acquire data that maximises the performance of automatic gaze coding and/or focus on improving automatic coding for particularly challenging data. We believe this technology has great promise for developmental science.     

Social-class indicators differentially predict engagement in prevention vs. detection behaviours

Objective: Few systematic studies have examined the contexts in which social-class variables will predict engagement in health-relevant behaviours. The current research examined whether the impact of social-class on health behaviours depends upon how social-class is assessed and the category of health behaviour under consideration.

Method: Our sample was drawn from the Health Information National Trends Survey in 2012 (N = 3959). Participants reported their income and education as well as their engagement in a variety of prevention and detection behaviours.

Results: Consistent with our hypothesised framework, we found that income predicted engagement in a variety of detection behaviours above and beyond education, whereas education predicted engagement in a variety of prevention behaviours above and beyond income.

Conclusions: Our findings suggest that income and education operate on health behaviours via different pathways and have implications for public health policy and intervention.     

Conflict detection during moral decision-making: evidence for deontic reasoners’ utilitarian sensitivity

Moral dilemmas often force us to decide between deontological (harming others is wrong) and utilitarian (harming others can be acceptable depending on the consequences) considerations. Cognitive scientists have shown that utilitarian responders typically engage demanding deliberate thinking to override a conflicting intuitive deontological response. A key question is whether deontic responders also take utilitarian considerations into account and detect that there are conflicting responses at play. The present study addressed this issue by contrasting people's processing of moral dilemmas in which utilitarian and deontological considerations cued conflicting or non-conflicting decisions. Results showed that deontic responders were slower and less confident about their decision when solving the conflict (vs. no-conflict) dilemmas. This suggests that they are considering both deontic and utilitarian aspects of their decision and indicates that a deontic decision is more informed and less oblivious than it might appear.