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Showing 1 to 15 of 55 results Save | Export
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Sahil Luthra; Austin Luor; Adam T. Tierney; Frederic Dick; Lori L. Holt – npj Science of Learning, 2025
Humans implicitly pick up on probabilities of stimuli and events, yet it remains unclear how statistical learning builds expectations that affect perception. Across 29 experiments, we examine the influence of task-irrelevant distributions--defined across acoustic frequency--on both tone detection in noise and tone duration judgments. The shape and…
Descriptors: Probability, Statistics, Expectation, Auditory Perception
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Aidai Golan; Dominique Lamy – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2024
There is growing consensus that selection history strongly guides spatial attention and is distinct from current goals and physical salience. Here, we focused on target-location probability cueing: when the target is more likely to appear in one region, search performance gradually improves for targets appearing in that region. Probability cueing…
Descriptors: Attention, Spatial Ability, Cues, Probability
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Giménez-Fernández, Tamara; Vicente-Conesa, Francisco; Luque, David; Vadillo, Miguel A. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2023
In a typical probabilistic cuing experiment, participants are asked to find a visual target among a series of distractors. Although participants are not informed about this, the target appears more frequently in one region of the display, resulting in faster search times for targets located in this region. This bias is thought to depend on a…
Descriptors: Short Term Memory, Probability, Cues, Attention
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Kubit, Benjamin M.; Janata, Petr – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2023
Involuntary musical imagery (INMI; more commonly known as "earworms" or having a song "stuck in your head") is a common musical phenomenon and one of the most salient examples of spontaneous cognition. Despite the ubiquitous nature of INMI in the general population, functional roles of INMI remain to be fully established and…
Descriptors: Music, Memory, Probability, Novelty (Stimulus Dimension)
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Dave, Neisarg; Bakes, Riley; Pursel, Barton; Giles, C. Lee – International Educational Data Mining Society, 2021
We investigate encoder-decoder GRU networks with attention mechanism for solving a diverse array of elementary math problems with mathematical symbolic structures. We quantitatively measure performances of recurrent models on a given question type using a test set of unseen problems with a binary scoring and partial credit system. From our…
Descriptors: Multiple Choice Tests, Mathematics Tests, Problem Solving, Attention
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Hong, Injae; Kim, Min-Shik; Jeong, Su Keun – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2022
The visual system can learn statistical regularities and form search habits that guide attention to a region where a target frequently appears. Although regularities in the real world can change over time, little is known about how such changes affect habit learning. Using a location probability learning task, we demonstrated that a constant…
Descriptors: Habit Formation, Search Strategies, Visual Learning, Visual Stimuli
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Yechiam, Eldad; Ashby, Nathaniel J. S.; Hochman, Guy – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2019
The majority of the literature on the psychology of gains and losses suggests that losses lead to an avoidance response. Several studies, however, have shown that losses can also lead to an approach response, whereby an option is selected more often when it produces losses. In five studies we examine the boundary conditions for these contradictory…
Descriptors: Fear, Responses, Attention, Selection
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Chen, Chi-hsin; Castellanos, Irina; Yu, Chen; Houston, Derek M. – Developmental Science, 2020
Coordinated attention between children and their parents plays an important role in their social, language, and cognitive development. The current study used head-mounted eye-trackers to investigate the effects of children's prelingual hearing loss on how they achieve coordinated attention with their hearing parents during free-flowing object…
Descriptors: Attention, Parent Child Relationship, Child Development, Eye Movements
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Sauter, Marian; Liesefeld, Heinrich René; Müller, Hermann J. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2019
It was shown previously that observers can learn to exploit an uneven spatial distribution of singleton distractors to better shield visual search from distractors in the frequent versus the rare region (i.e., distractor location probability cueing; Sauter, Liesefeld, Zehetleitner, & Müller, 2018). However, with distractors defined in the same…
Descriptors: Attention, Cues, Learning Processes, Probability
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Hedger, Nicholas; Chakrabarti, Bhismadev – Autism: The International Journal of Research and Practice, 2021
Individuals with autism spectrum disorders typically exhibit reduced visual attention towards social stimuli relative to neurotypical individuals. Importantly, however, attention is not a static process, and it remains unclear how such effects may manifest over time. Exploring these momentary changes in gaze behaviour can more clearly illustrate…
Descriptors: Autism, Pervasive Developmental Disorders, Eye Movements, Attention
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Suh, Jihyun; Bugg, Julie M. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2021
Existing approaches in the literature on cognitive control in conflict tasks almost exclusively target the outcome of control (by comparing mean congruency effects) and not the processes that shape control. These approaches are limited in addressing a current theoretical issue--what contribution does learning make to adjustments in cognitive…
Descriptors: Cognitive Processes, Comparative Analysis, Conflict, Learning Processes
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DiGuiseppi, Carolyn; Levy, Susan E.; Sabourin, Katherine R.; Soke, Gnakub N.; Rosenberg, Steven; Lee, Li-Ching; Moody, Eric; Schieve, Laura A. – Journal of Autism and Developmental Disorders, 2018
This study examined caregiver-reported medically-attended injuries among 30-68 month old children with autism spectrum disorder (ASD) compared to general population (POP) and non-ASD developmental disorders (DD) controls in the Study to Explore Early Development. Injuries were common in ASD cases (32.3%) as well as POP (30.2%) and DD (27.8%)…
Descriptors: Injuries, Autism, Pervasive Developmental Disorders, Child Development
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Beck, Melissa R.; Goldstein, Rebecca R.; van Lamsweerde, Amanda E.; Ericson, Justin M. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2018
Attention allocation determines the information that is encoded into memory. Can participants learn to optimally allocate attention based on what types of information are most likely to change? The current study examined whether participants could incidentally learn that changes to either high spatial frequency (HSF) or low spatial frequency (LSF)…
Descriptors: Attention, Incidental Learning, Memory, Visual Perception
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Westerfield, Marissa A.; Zinni, Marla; Vo, Khang; Townsend, Jeanne – Journal of Autism and Developmental Disorders, 2015
We recorded visual event-related brain potentials from 32 adult male participants (16 high-functioning participants diagnosed with autism spectrum disorder (ASD) and 16 control participants, ranging in age from 18 to 53 years) during a three-stimulus oddball paradigm. Target and non-target stimulus probability was varied across three probability…
Descriptors: Autism, Pervasive Developmental Disorders, Adults, Males
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Sewell, David K.; Lilburn, Simon D.; Smith, Philip L. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2016
A central question in working memory research concerns the degree to which information in working memory is accessible to other cognitive processes (e.g., decision-making). Theories assuming that the focus of attention can only store a single object at a time require the focus to orient to a target representation before further processing can…
Descriptors: Short Term Memory, Visual Perception, Attention, Reaction Time
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