We show that valid spatial cues directing internal attention during long-term memory retrieval boost recall, while invalid cues incur costs. Our work offers a flexible experimental framework to study ...

Franch et al. show that human hippocampal neurons encode the meanings of the words we hear through distributed, context-sensitive population activity that mirrors some features of large language model...

Memory faces a fundamental challenge. It has to become flexible enough to be accessed by novel cues without losing the specific information that defines each individual episode. Whether memory transfo...

Attention prioritizes relevant information from the environment, but does not do so consistently over time. Instead, we sometimes experience poor attentional states which are characterized by a higher...

PhD Project - Forgetting unwanted memories during sleep at University of York, listed on FindAPhD.com

The Memory and Attention Laboratory at the University of South Dakota is part of the Human Factors & Applied Cognition  program in the Department of Psychology . We study memory, attention, and...

Stimuli that reliably predict reward can increase their capacity to capture attention. This Value-Modulated Attentional Capture (VMAC) is typically viewed…

Deep neural networks trained with different architectures, objectives, and datasets have been reported to converge on similar visual representations. However, what remains unknown is which visual prop...

Chericoni et al. show that neurons in the human hippocampus track the positions of multiple agents in a simple pursuit-based video game. They identified place codes for each agent and for gaze. The co...

Searching for objects of interest is an essential and pervasive activity in adaptive cognition. In everyday situations, we often search for relevant content in our surroundings and in mind at the same...

How do people preserve mental continuity when tasks are interrupted? One established pathway runs through the hippocampus, which stores snapshots of our mental context for later reinstatement. We prop...

Memory and perception both require selecting behaviorally relevant information. Here, the authors show that more distinct hippocampal memories are linked to precise anticipatory signals in visual cort...

It is critical to identify which factors induce specific brain states as these large-scale patterns of coordinated neural activity drive downstream processing and behavior. The retrieval state, a brai...

<p>The ‘Biological Psychology and Cognitive Neuroscience’ research group investigates human experience and behaviour at the interface betwee...

Abstract. Reward processing is critical for motivation, learning, and decision making. It involves a network centered on the fronto-striatal circuit, with the ventral striatum (VS) playing a pivotal r...

A set of rhythm tasks administered via the internet showed evidence for distinct rhythmic competencies relating to perception versus production as well as sequence memory-based perception compared to...

Typical visual working memory tasks involve many trials of rapid presentations of simple stimuli to be remembered across short delays. This is rarely …

Most widely studied option evaluation strategies rely on knowledge accumulated across repeated experiences. But how should options be evaluated in ...

Response inhibition is a key control function that allows humans to perform safe, goal-directed behaviors. The dominant behavioral-computational model holds that response inhibition fails when the inh...

In the real world, objects always appear in context. Many objects are reliably associated with a certain scene context (e.g., pots appear in kitchens) and other objects that appear in the same context...

How past experiences are reconstructed from memory remains unclear. Here the authors used intracranial EEG to show that hippocampal ripples reshape the geometry of cortical representations, supporting...

Mental representations are the explanatory construct of the cognitive sciences, but there is no widely accepted characterization of how they cause behavior. Visual representational geometry can be quantified by similarity scores, but almost all methods require an explicit judgment. To examine how representations cause behavior by varying task demands, observers must perform different tasks while continuously reporting similarity, leading to dual-task interference. This study develops scanpaths as an implicit similarity measure, and uses representational similarity analysis to validate it. Observers searched for a target; fixations on distractors may reveal similarity. Similarity was also quantified by an odd-one-out task in the same participants, and ratings from different participants (Jiang et al. 2022). Representational geometries between tasks correlated. A generative model predicted first fixations in novel data. This double validation of the scanpath method opens the door to examining the causality of representations by determining if and how they vary with task demands. ### Competing Interest Statement The authors have declared no competing interest.