David Luque's research while affiliated with Universidad Autónoma de Madrid and other places

... In contrast, the dorsal striatum (DS), which encompasses the caudate and putamen, has been associated with compulsively driven (i.e., 'wanting') food intake [107,108]. Compulsive overeating may be characterized by insensitivity to food-related reward value (either increased or decreased) or to the presence of aversive health and emotional outcomes [109][110][111]. As such, habitual overeating, especially in clinical populations, may be understood as the result of aberrant food-reward learning -a process potentially underpinned by the shift from VS-to DS-oriented response to food-related stimulus [107,112]. ...

... Motivated by major concerns about false positive results in neuroscience in general and neuroimaging in particular (Turner et al. 2018;Pavlov et al. 2021), we split our data into pilot and confirmatory samples to finalize our analysis methods before processing the larger confirmatory sample. While a small pilot sample in itself has low statistical power, including a confirmatory sample where we narrow the hypothesis space and research degrees of freedom gives us low type-1 "false positive" error rates (see section "Statistical Power Calculation" in Supplementary Material). ...

... In other words, the persistence of the attentional bias does not necessarily imply that it is driven by an automatic and inflexible habit. Ultimately, whether or not probabilistic cuing qualifies as an attention habit depends on what is meant by a habita longstanding matter of debate and controversy itself (De Houwer, 2019;Luque & Molinero, 2021). One of the defining features of habits is that they are independent from goals and, thus, insensitive to changes in the value or the contingency of rewards (Dickinson, 1985;Wood & Rünger, 2016). ...

... All our themes are evident in their article. We also draw attention to international efforts to estimate the replicability of influential EEG experiments (Pavlov et al., 2020). These mass replication projects provide a broad overview. ...

... These temporally learned configurations then translate to long-term memory along with the learning time, subsequently guiding focal attention to the target location when learned pattern re-occurs on later occasions. Alternatively, recent studies suggest that the learning of the distractor configuration could also facilitate the target detection without the guidance to the target location (Vadillo et al., 2020a). Vadillo et al. (2020a) observed a significant contextual cueing effect in visual search even when the target location cannot be predicted by the distractors in repeated configurations (with the locations of distractors kept constant but the locations of the target changed randomly). ...

... A potential over-reliance on habitual relative to goal-directed action control may thus help explain the persistence of maladaptive behaviors such as persistent maladaptive avoidance (e.g., Wood & Rünger, 2016). The mechanisms involved in the HABITUAL AVOIDANCE IN COMPETITION WITH GOAL-DIRECTED APPROACH -PREPRINT 4 reduction of maladaptive habits are important topics in habit research (Luque & Molinero, 2020). ...

... One recent study, for example, reported ultrafast distractor rejection using natural scene stimuli (Hickey et al., 2019), suggesting that global scene information can rapidly constrain naturalistic search. Indeed, our natural environments typically contain predictive structure and regularities that can not only guide attention (Kaiser et al., 2016;Theeuwes, 2021;Võ et al., 2019), but are also informative about what can be safely ignored (Vadillo et al., 2021). Sources of initial distraction (e.g., traffic outside your new office window), may simply disappear into the background once familiar to the brain. ...

... While in triplet learning explicit knowledge regarding the sequences of visual stimuli improves performance [123] and larger search biases have been found sometimes for individuals that are aware of a target regularity in visual search [124], no such effect was reported with learning to suppress a location. In a study that explicitly tested this, it was shown that the amount of suppression was exactly the same, irrespective of whether the experimental manipulation highlighted or masked the underlying statistical regularity [48]. ...

... The cue is then presented as a distractor in a second task, so that paying attention to it interferes with the goal of responding efficiently to the target stimulus. In this context, increased response times to the target (Anderson, Laurent, & Yantis, 2011a;Le Pelley, Vadillo, & Luque, 2013;Luque, Molinero, Jevtovic, & Beesley, 2020), or increased capture of the first within-trial fixations by the distractor (Anderson & Yantis, 2012;, are taken as evidence for an automatic bias towards the distractor driven by previous learning. These effects are reminiscent of those produced by physically salient stimuli (Theeuwes, 1991(Theeuwes, , 1992Theeuwes, De Vries, & Godijn, 2003). ...