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On the origin of memory neurons in the human hippocampus Trends Cogn. Sci. (IF 16.7) Pub Date : 2025-03-04
Luca D. Kolibius, Sheena A. Josselyn, Simon HanslmayrThe hippocampus is essential for episodic memory, yet its coding mechanism remains debated. In humans, two main theories have been proposed: one suggests that concept neurons represent specific elements of an episode, while another posits a conjunctive code, where index neurons code the entire episode. Here, we integrate new findings of index neurons in humans and other animals with the concept-specific
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The cognitive science of eyewitness memory Trends Cogn. Sci. (IF 16.7) Pub Date : 2025-02-27
Laura Mickes, Brent M. Wilson, John T. WixtedRecent insights from cognitive science have reshaped our understanding of the reliability of eyewitness memory. Many believe that eyewitness memory is unreliable, but a better way of thinking is that eyewitness memory, like other types of forensic evidence, can be contaminated. Because contaminated evidence yields unreliable results, the focus should be placed on testing uncontaminated memory evidence
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Defending the episodic memory account of aphantasia Trends Cogn. Sci. (IF 16.7) Pub Date : 2025-02-11
Andrea Blomkvist -
Ignoring the cerebellum is hindering progress in neuroscience Trends Cogn. Sci. (IF 16.7) Pub Date : 2025-02-10
Bangjie Wang, Amanda LeBel, Anila M. D’MelloTraditionally considered a motor structure, the cerebellum has been shown to play a key role in several cognitive functions. However, for decades, the cerebellum has been largely overlooked and even deliberately excluded from ‘whole-brain’ neuroimaging studies. Here, we propose that the continued exclusion of the cerebellum has limited our understanding of whole-brain function. We describe reasons
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Computational rationality and developmental neurodivergence Trends Cogn. Sci. (IF 16.7) Pub Date : 2025-02-08
Samuel David Jones, Paul Rauwolf, Gert WestermannThe role of behaviour – choices, actions, and habits – in shaping neurodivergent development remains unclear. In this forum article we introduce computational rationality as a framework for understanding dynamic feedback between brain and behavioural development, and neurodevelopmental variation.
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The neural basis of the insight memory advantage Trends Cogn. Sci. (IF 16.7) Pub Date : 2025-01-24
Maxi Becker, Roberto CabezaCreative problem solving and memory are inherently intertwined: memory accesses existing knowledge while creativity enhances it. Recent studies show that insights often accompanying creative solutions enhance long-term memory. This insight memory advantage (IMA) is explained by the 'insight as prediction error (PE)' hypothesis which states that insights arise from PEs updating predictive solution models
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Sensorimnemonic decisions: choosing memories versus sensory information Trends Cogn. Sci. (IF 16.7) Pub Date : 2025-01-23
Levi Kumle, Anna C. Nobre, Dejan DraschkowWe highlight a fundamental psychological function that is central to many of our interactions in the environment – when to rely on memories versus sampling sensory information anew to guide behavior. By operationalizing sensorimnemonic decisions we aim to encourage and advance research into this pivotal process for understanding how memories serve adaptive cognition.
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Why the belief in meritocracy is so pervasive Trends Cogn. Sci. (IF 16.7) Pub Date : 2025-01-10
Ian R. Hadden, Céline Darnon, Lewis Doyle, Matthew J. Easterbrook, Sébastien Goudeau, Andrei CimpianPeople worldwide tend to believe that their societies are more meritocratic than they actually are. We propose the belief in meritocracy is widespread because it is rooted in simple, seemingly obvious causal–explanatory intuitions. Our proposal suggests solutions for debunking the myth of meritocracy and increasing support for equity-oriented policies.
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Working memory needs pointers Trends Cogn. Sci. (IF 16.7) Pub Date : 2025-01-07
Edward Awh, Edward K. VogelCognitive neuroscience has converged on a definition of working memory (WM) as a capacity-limited system that maintains highly accessible representations via stimulus-specific neural patterns. We argue that this standard definition may be incomplete. We highlight the fundamental need to recognize specific instances or tokens and to bind those tokens to the surrounding context. We propose that contextual
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Illusion, dilution, or loss: psychological ownership and GenAI Trends Cogn. Sci. (IF 16.7) Pub Date : 2025-01-07
Erik HermannGenerative artificial intelligence (GenAI) reshapes and challenges psychological ownership of created content. This article examines how GenAI disrupts original content creators’ and GenAI users’ sense of ownership and control and illustrates how both can perceive the illusion, dilution, and potential loss of control and ownership of content in the GenAI era.
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Why do primates have view cells instead of place cells? Trends Cogn. Sci. (IF 16.7) Pub Date : 2025-01-06
Julio Martinez-TrujilloHippocampal place cells that encode the spatial location of an individual during navigation are widely reported in rodents. However, studies in primates have instead reported hippocampal cells that encode views of the environment. Evolutionary adaptations for navigating during night and day may explain the divergence of hippocampal representations between species.
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Processes and measurements: a framework for understanding neural oscillations in field potentials Trends Cogn. Sci. (IF 16.7) Pub Date : 2025-01-02
Sander van Bree, Daniel Levenstein, Matthew R. Krause, Bradley Voytek, Richard GaoVarious neuroscientific theories maintain that brain oscillations are important for neuronal computation, but opposing views claim that these macroscale dynamics are ‘exhaust fumes’ of more relevant processes. Here, we approach the question of whether oscillations are functional or epiphenomenal by distinguishing between measurements and processes, and by reviewing whether causal or inferentially useful
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Beyond executive functioning: rethinking the impact of bilingualism Trends Cogn. Sci. (IF 16.7) Pub Date : 2025-01-02
Ellen Bialystok -
Is adaptation the new ‘bilingual advantage’? Trends Cogn. Sci. (IF 16.7) Pub Date : 2025-01-02
Esti Blanco-Elorrieta -
Beyond punishment: psychological foundations of restorative interventions Trends Cogn. Sci. (IF 16.7) Pub Date : 2024-12-27
Katherine McAuliffe, Julia Marshall, Abby McLaughlinWork on the psychology of justice has largely focused on punishment. However, punishment is not our only strategy for dealing with conflict. Rather, emerging work suggests that people often respond to transgressions by compensating victims, involving third-party mediators, and engaging in forgiveness. These responses are linked in that they are involved in more restorative than retributive justice
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Generative adversarial collaborations: a new model of scientific discourse Trends Cogn. Sci. (IF 16.7) Pub Date : 2024-12-20
Benjamin Peters, Gunnar Blohm, Ralf Haefner, Leyla Isik, Nikolaus Kriegeskorte, Jennifer S. Lieberman, Carlos R. Ponce, Gemma Roig, Megan A.K. Peters -
Frontoparietal asymmetries leading to conscious perception Trends Cogn. Sci. (IF 16.7) Pub Date : 2024-12-20
Paolo Bartolomeo, Jianghao Liu, Tal Seidel MalkinsonRecent human intracerebral recordings reveal that frontoparietal circuits linked by the superior longitudinal fasciculus (SLF) have critical, hemisphere-asymmetric contributions to conscious perception. Right-hemisphere networks are crucial for attention-based prioritization of information; left-hemisphere regions contribute to perceptual decisions and model building. These asymmetries confirm and
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Finding order in chaos: influences of environmental complexity and predictability on development Trends Cogn. Sci. (IF 16.7) Pub Date : 2024-12-19
Katie L. Lancaster, Sam V. WassEnvironments are dynamic and complex. Some children experience more predictable early life environments than others. Here, we consider how moment-by-moment complexity and predictability in our early environments influence development. New studies using wearable sensors are quantifying this environmental variability at a fine temporal resolution across hierarchically structured physical and social features
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Empirical approaches to determining quality space computations for consciousness: a response to Dołęga et al. and Song Trends Cogn. Sci. (IF 16.7) Pub Date : 2024-12-19
Stephen M. Fleming, Nicholas Shea -
Tracking minds in communication Trends Cogn. Sci. (IF 16.7) Pub Date : 2024-12-17
Paula Rubio-Fernandez, Marlene D. Berke, Julian Jara-EttingerHow does social cognition help us communicate through language? At what levels does this interaction occur? In classical views, social cognition is independent of language, and integrating the two can be slow, effortful, and error-prone. But new research into word level processes reveals that communication is brimming with social micro-processes that happen in real time, guiding even the simplest choices
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Aphantasia as imagery blindsight Trends Cogn. Sci. (IF 16.7) Pub Date : 2024-12-17
Matthias Michel, Jorge Morales, Ned Block, Hakwan Lau -
Physically activated modes of attentional control Trends Cogn. Sci. (IF 16.7) Pub Date : 2024-12-16
Barry Giesbrecht, Tom Bullock, Jordan GarrettAs we navigate through the day, our attentional control processes are constantly challenged by changing sensory information, goals, expectations, and motivations. At the same time, our bodies and brains are impacted by changes in global physiological state that can influence attentional processes. Based on converging lines of evidence from brain recordings in physically active humans and nonhumans
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The role of alpha oscillations in resisting distraction Trends Cogn. Sci. (IF 16.7) Pub Date : 2024-12-12
Mathilde Bonnefond, Ole JensenThe role of alpha oscillations (8–13 Hz) in suppressing distractors is extensively debated. One debate concerns whether alpha oscillations suppress anticipated visual distractors through increased power. Whereas some studies suggest that alpha oscillations support distractor suppression, others do not. We identify methodological differences that may explain these discrepancies. A second debate concerns
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Memory updating and the structure of event representations Trends Cogn. Sci. (IF 16.7) Pub Date : 2024-12-11
Christopher N. Wahlheim, Jeffrey M. ZacksPeople form memories of specific events and use those memories to make predictions about similar new experiences. Living in a dynamic environment presents a challenge: How does one represent valid prior events in memory while encoding new experiences when things change? There is evidence for two seemingly contradictory classes of mechanism: One differentiates outdated event features by making them
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Sound amongst the din: primate strategies against noise Trends Cogn. Sci. (IF 16.7) Pub Date : 2024-12-11
Julia Löschner, Steffen R. HageAmbient noise disrupts vocal communication amongst animals. Recent studies show that some species, such as marmosets, can rapidly adjust the patterns of ongoing calls according to noisy environments. This substantial vocal flexibility reveals that non-human primates have more advanced cognitive control over when and what to vocalize than previously thought.
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Social structure and the evolutionary ecology of inequality Trends Cogn. Sci. (IF 16.7) Pub Date : 2024-12-03
Daniel RedheadFrom rising disparities in income to limited socio-political representation for minority groups, inequality is a topic of perennial interest for contemporary society. Research in the evolutionary sciences has started to investigate how social structure allows inequality to evolve, but is developing in silo from existing work in the social and cognitive sciences. I synthesise these literatures to present
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How can a 4-day working week increase wellbeing at no cost to performance? Trends Cogn. Sci. (IF 16.7) Pub Date : 2024-12-02
Charlotte L. Rae, Emma RussellThe 4-day working week is gaining interest, with international trials reporting enhanced staff wellbeing and performance, despite spending less time on the job. Here, we argue that improved performance on a 4-day working week arises through two psychological mechanisms of recovery and motivation: because better rested, better motivated brains, create better work.
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Anxiety involves altered planning Trends Cogn. Sci. (IF 16.7) Pub Date : 2024-11-27
Paul B. SharpClinicians have suggested but not shown how anxiety involves altered planning. Here, I synthesize and extend computational models of planning in a framework that can be used to explain planning biases in anxiety. To spur its development, I spotlight two of its promising areas: task construal and meta-control.
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Global brain asymmetry Trends Cogn. Sci. (IF 16.7) Pub Date : 2024-11-19
Yi Pu, Clyde Francks, Xiang-Zhen KongLateralization is a defining characteristic of the human brain, often studied through localized approaches that focus on interhemispheric differences between homologous pairs of regions. It is also important to emphasize an integrative perspective of global brain asymmetry, in which hemispheric differences are understood through global patterns across the entire brain.
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Cognitive maps and schizophrenia Trends Cogn. Sci. (IF 16.7) Pub Date : 2024-11-19
Matthew M. Nour, Yunzhe Liu, Mohamady El-Gaby, Robert A. McCutcheon, Raymond J. DolanStructured internal representations (‘cognitive maps’) shape cognition, from imagining the future and counterfactual past, to transferring knowledge to new settings. Our understanding of how such representations are formed and maintained in biological and artificial neural networks has grown enormously. The cognitive mapping hypothesis of schizophrenia extends this enquiry to psychiatry, proposing
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Executive control fluctuations underlie behavioral variability in anthropoids Trends Cogn. Sci. (IF 16.7) Pub Date : 2024-11-18
Farshad A. Mansouri, Rogier A. Kievit, Mark J. BuckleyIn complex tasks requiring cognitive control, humans show trial-by-trial alterations in response time (RT), which are evident even when sensory-motor or other contextual aspects of the task remain stable. Exaggerated intra-individual RT variability is associated with brain injuries and frequently seen in aging and neuropsychological disorders. In this opinion, we discuss recent electrophysiology and
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Understanding the qualitative nature of human consciousness Trends Cogn. Sci. (IF 16.7) Pub Date : 2024-11-15
Chen Song -
How does the quality space come to be? Trends Cogn. Sci. (IF 16.7) Pub Date : 2024-11-15
Krzysztof Dołęga, Inès Mentec, Axel Cleeremans -
A sequence bottleneck for animal intelligence and language? Trends Cogn. Sci. (IF 16.7) Pub Date : 2024-11-07
Johan Lind, Anna Jon-AndWe discuss recent findings suggesting that non-human animals lack memory for stimulus sequences, and therefore do not represent the order of stimuli faithfully. These observations have far-reaching consequences for animal cognition, neuroscience, and studies of the evolution of language and culture. This is because, if non-human animals do not remember or process information about order faithfully
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Embracing variability in the search for biological mechanisms of psychiatric illness Trends Cogn. Sci. (IF 16.7) Pub Date : 2024-11-06
Ashlea Segal, Jeggan Tiego, Linden Parkes, Avram J. Holmes, Andre F. Marquand, Alex FornitoDespite decades of research, we lack objective diagnostic or prognostic biomarkers of mental health problems. A key reason for this limited progress is a reliance on the traditional case–control paradigm, which assumes that each disorder has a single cause that can be uncovered by comparing average phenotypic values of patient and control samples. Here, we discuss the problematic assumptions on which
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Dynamic brain plasticity during the transition to motherhood Trends Cogn. Sci. (IF 16.7) Pub Date : 2024-11-06
Sara Halmans, Milou Straathof, Elseline A. HoekzemaEarlier research has established strong evidence for structural brain changes across pregnancy. Pritschet et al. now enhanced our understanding of pregnancy-induced brain plasticity by following one woman throughout her pregnancy and the postpartum period, revealing insights into the dynamics of grey and white matter alterations across the transition to motherhood.
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Understanding cognitive processes across spatial scales of the brain Trends Cogn. Sci. (IF 16.7) Pub Date : 2024-11-04
Hayoung Song, JeongJun Park, Monica D. RosenbergCognition arises from neural operations at multiple spatial scales, from individual neurons to large-scale networks. Despite extensive research on coding principles and emergent cognitive processes across brain areas, investigation across scales has been limited. Here, we propose ways to test the idea that different cognitive processes emerge from distinct information coding principles at various scales
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New strategies for the cognitive science of dreaming Trends Cogn. Sci. (IF 16.7) Pub Date : 2024-11-04
Remington Mallett, Karen R. Konkoly, Tore Nielsen, Michelle Carr, Ken A. PallerDreams have long captivated human curiosity, but empirical research in this area has faced significant methodological challenges. Recent interdisciplinary advances have now opened up new opportunities for studying dreams. This review synthesizes these advances into three methodological frameworks and describes how they overcome historical barriers in dream research. First, with observable dreaming
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Leveraging cognitive neuroscience for making and breaking real-world habits Trends Cogn. Sci. (IF 16.7) Pub Date : 2024-11-04
Eike K. Buabang, Kelly R. Donegan, Parnian Rafei, Claire M. GillanHabits are the behavioral output of two brain systems. A stimulus–response (S–R) system that encourages us to efficiently repeat well-practiced actions in familiar settings, and a goal-directed system concerned with flexibility, prospection, and planning. Getting the balance between these systems right is crucial: an imbalance may leave people vulnerable to action slips, impulsive behaviors, and even
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Classroom-based learning dynamics: the role of interbrain synchrony Trends Cogn. Sci. (IF 16.7) Pub Date : 2024-11-03
Vanessa Reindl, Kerstin Konrad, Kenneth K. Poon, Victoria LeongClassroom learning occurs within a multidimensional context of inter-related neurocognitive, motivational, and socioemotional processes. Multisubject approaches in neuroscience are poised to capture these dynamics using multimodal, time-resolved, and nonlinear methodologies and may help us identify the factors that facilitate or impede learning in such highly complex and social environments.
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High-level visual cognition deep down in the brain Trends Cogn. Sci. (IF 16.7) Pub Date : 2024-11-01
Baiwei Liu, Freek van EdeA recent study by Peysakhovich and colleagues reveals how the superior colliculus (SC), a deep brain structure commonly associated with spatial orienting and motor control, causally contributes to the abstraction of visual categories. This highlights how subcortical areas with motor-control labels may have central roles in high-level visual cognition and opens avenues for investigation.
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The process of gendering: gender as a verb Trends Cogn. Sci. (IF 16.7) Pub Date : 2024-10-30
Ashley E. Martin, Michael L. SlepianGender is important to the social and cognitive sciences, as evidenced by hundreds of meta-analyses, thousands of studies, and millions of datapoints that examine how gender (as an independent variable) shapes cognition and behavior. In this expansive literature, gender is often understood as a noun – a social category that separates ‘men’ from ‘women’. However, gender can also be studied and understood
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Spatial communication systems and action Trends Cogn. Sci. (IF 16.7) Pub Date : 2024-10-28
Kenny R. Coventry, Holger DiesselSpatial cognition is fundamental to our species. One might therefore expect that spatial communication systems would have evolved to make common distinctions. However, many have argued that spatial communication systems exhibit considerable cross-linguistic diversity, challenging the view that space structures language. We review recent work on spatial communication that merits revisiting the relationship
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Whole-to-part development in language creation Trends Cogn. Sci. (IF 16.7) Pub Date : 2024-10-28
Susan Goldin-Meadow, Inbal ArnonChildren approach language by learning parts and constructing wholes. But they can also first learn wholes and then discover parts. We demonstrate this understudied yet impactful process in children creating language without input. Whole-to-part learning thus need not be driven by hard-to-segment input and is a bias that children bring to language.
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How control modulates pain Trends Cogn. Sci. (IF 16.7) Pub Date : 2024-10-28
Marie Habermann, Andreas Strube, Christian BüchelPain, an indicator of potential tissue damage, ideally falls under individual control. Although previous work shows a trend towards reduced pain in contexts where pain is controllable, there is a large variability across studies that is probably related to different aspects of control. We therefore outline a taxonomy of different aspects of control relevant to pain, sketch how control over pain can
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How sharp is the compassion–sympathy distinction? Trends Cogn. Sci. (IF 16.7) Pub Date : 2024-10-25
Amrisha Vaish, Tobias Grossmann -
Compassion and prosocial behavior: response to Vaish and Grossmann Trends Cogn. Sci. (IF 16.7) Pub Date : 2024-10-25
Shaun Gallagher, Antonino Raffone, Salvatore M. Aglioti -
Can individual differences explain brain plasticity in blindness? Trends Cogn. Sci. (IF 16.7) Pub Date : 2024-10-23
Ella Striem-AmitExplaining brain plasticity in blindness is challenging because the early visual cortex (EVC) responds to many different tasks, each type supporting a different explanation. Can individual differences help unify the experimental findings into a coherent theory and clarify the nature of brain plasticity?
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How generic language shapes the development of social thought Trends Cogn. Sci. (IF 16.7) Pub Date : 2024-10-21
Marjorie Rhodes, Susan A. Gelman, Sarah-Jane LeslieGeneric language, that is, language that refers to a category as an abstract whole (e.g., ‘Girls like pink’) rather than specific individuals (e.g., ‘This girl likes pink’), is a common means by which children learn about social kinds. Here, we propose that children interpret generics as signaling that their referenced categories are natural, objective, and have distinctive features, and, thus, in
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Large-scale interactions in predictive processing: oscillatory versus transient dynamics Trends Cogn. Sci. (IF 16.7) Pub Date : 2024-10-17
Martin Vinck, Cem Uran, Jarrod R. Dowdall, Brian Rummell, Andres Canales-JohnsonHow do the two main types of neural dynamics, aperiodic transients and oscillations, contribute to the interactions between feedforward (FF) and feedback (FB) pathways in sensory inference and predictive processing? We discuss three theoretical perspectives. First, we critically evaluate the theory that gamma and alpha/beta rhythms play a role in classic hierarchical predictive coding (HPC) by mediating
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Using precision approaches to improve brain-behavior prediction Trends Cogn. Sci. (IF 16.7) Pub Date : 2024-10-16
Hyejin J. Lee, Ally Dworetsky, Nathan Labora, Caterina GrattonPredicting individual behavioral traits from brain idiosyncrasies has broad practical implications, yet predictions vary widely. This constraint may be driven by a combination of signal and noise in both brain and behavioral variables. Here, we expand on this idea, highlighting the potential of extended sampling ‘precision’ studies. First, we discuss their relevance to improving the reliability of
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Large language models (LLMs) and the institutionalization of misinformation Trends Cogn. Sci. (IF 16.7) Pub Date : 2024-10-10
Maryanne Garry, Way Ming Chan, Jeffrey Foster, Linda A. HenkelLarge language models (LLMs), such as ChatGPT, flood the Internet with true and false information, crafted and delivered with techniques that psychological science suggests will encourage people to think that information is true. What’s more, as people feed this misinformation back into the Internet, emerging LLMs will adopt it and feed it back in other models. Such a scenario means we could lose access
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Moving fast conveys confidence to others during decision-making Trends Cogn. Sci. (IF 16.7) Pub Date : 2024-10-09
Atsushi TakagiThe ability to read others’ intentions is crucial when pooling knowledge to form a collective decision. Decision-making improves when communication is allowed through words or touch. Coucke et al. show that visual information communicated through actions can convey not only a decision but also decision confidence, improving collective decision-making.
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Magic for the blind: are auditory tricks impossible? Trends Cogn. Sci. (IF 16.7) Pub Date : 2024-10-04
Gustav Kuhn, Tyler Gibgot, Cyril Thomas, Vebjørn EkrollMany magic tricks rely solely on vision, but there are few, if any, that rely on auditory perception alone. Here, we question why this is so and argue that research focusing on this issue could provide deeper theoretical insights into the similarities and differences between our senses.
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Toward an understanding of collective intellectual humility Trends Cogn. Sci. (IF 16.7) Pub Date : 2024-10-02
Elizabeth J. Krumrei-Mancuso, Philip Pärnamets, Steven Bland, Mandi Astola, Aleksandra Cichocka, Jeroen de Ridder, Hugo Mercier, Marco Meyer, Cailin O’Connor, Tenelle Porter, Alessandra Tanesini, Mark Alfano, Jay J. Van BavelThe study of intellectual humility (IH), which is gaining increasing interest among cognitive scientists, has been dominated by a focus on individuals. We propose that IH operates at the collective level as the tendency of a collective’s members to attend to each other’s intellectual limitations and the limitations of their collective cognitive efforts. Given people’s propensity to better recognize
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When visual metacognition fails: widespread anosognosia for visual deficits Trends Cogn. Sci. (IF 16.7) Pub Date : 2024-10-01
Matthias Michel, Yi Gao, Matan Mazor, Isaiah Kletenik, Dobromir RahnevAnosognosia for visual deficits – cases where significant visual deficits go unnoticed – challenges the view that our own conscious experiences are what we know best. We review these widespread and striking failures of awareness. Anosognosia can occur with total blindness, visual abnormalities induced by brain lesions, and eye diseases. We show that anosognosia for visual deficits is surprisingly widespread
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Cellular psychology: relating cognition to context-sensitive pyramidal cells Trends Cogn. Sci. (IF 16.7) Pub Date : 2024-10-01
William A. Phillips, Talis Bachmann, Michael W. Spratling, Lars Muckli, Lucy S. Petro, Timothy Zolnik‘Cellular psychology’ is a new field of inquiry that studies dendritic mechanisms for adapting mental events to the current context, thus increasing their coherence, flexibility, effectiveness, and comprehensibility. Apical dendrites of neocortical pyramidal cells have a crucial role in cognition – those dendrites receive input from diverse sources, including feedback, and can amplify the cell’s feedforward
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Demystifying unsupervised learning: how it helps and hurts Trends Cogn. Sci. (IF 16.7) Pub Date : 2024-09-30
Franziska Bröker, Lori L. Holt, Brett D. Roads, Peter Dayan, Bradley C. LoveHumans and machines rarely have access to explicit external feedback or supervision, yet manage to learn. Most modern machine learning systems succeed because they benefit from unsupervised data. Humans are also expected to benefit and yet, mysteriously, empirical results are mixed. Does unsupervised learning help humans or not? Here, we argue that the mixed results are not conflicting answers to this
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Testing the unit of working memory manipulation Trends Cogn. Sci. (IF 16.7) Pub Date : 2024-09-28
Liqiang HuangJi et al. investigated the unit of working memory manipulation. Participants were asked to update either the color or location of memorized information. Task difficulty depended on the number of Boolean maps involved, rather than the number of objects, suggesting that Boolean maps, not objects, are the units of manipulation.
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The affective gradient hypothesis: an affect-centered account of motivated behavior Trends Cogn. Sci. (IF 16.7) Pub Date : 2024-09-24
Amitai ShenhavEveryone agrees that feelings and actions are intertwined, but cannot agree how. According to dominant models, actions are directed by estimates of value and these values shape or are shaped by affect. I propose instead that affect is the only form of value that drives actions. Our mind constantly represents potential future states and how they would make us feel. These states collectively form a gradient