During audiovisual perception, spatial information from vision and audition is combined, often producing biases such as the ventriloquist effect. While these interactions are well documented behaviour...

Artificial neural networks trained on visual tasks develop internal representations resembling those of the primate visual system, a discovery that has guided a decade of computational neuroscience. R...

The real world is stochastic, making it difficult to know when planning is worthwhile. Here the authors show that as stochasticity increases, people spend less effort planning and adopt simpler, less ...

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...

Biocomputational method; Bioinformatics; Biological sciences; Computer science; Neural networks; Neuroscience

The mechanisms of goal-driven attention are often characterized as serving the selection of task-relevant information. However, decades of research have now shown that selection is biased by many diff...

Job #AJO32753, Professor (tenured), Psychology and Neuroscience, Duke University, Durham, North Carolina, US

Job #AJO32697, Tenure Track Assistant Professor - AI/ML Neurobiology, Neurobiology, Duke University, Durham, North Carolina, US

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Department Contact: Dr. Justin MacDonald, 575-646-6223, jmacd@nmsu.edu Internal or External Search: External - Open to all applicants   Advertising Summary: The Department of Psychology is seeking an ...

Read the latest articles of Cognitive Psychology at ScienceDirect.com, Elsevier’s leading platform of peer-reviewed scholarly literature

Despite large-scale recordings, neuroscience has identified representations for only a small fraction of visual features distinguishable by humans. This is increasingly attributed to mixed selectivity...

Using fMRI pattern decoding and representational similar analysis, Xu provides evidence supporting the role of feedback from the human posterior parietal cortex in shaping the content of visual workin...

Using a combined approach of monkey electrophysiology, artificial neural networks and human psychophysics, Xue et al. show that neuronal interference from irrelevant information underlies behavioral e...

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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...

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Chiang and Rich show that macaques spontaneously chunk spatial targets in a self-ordered working memory task. dlPFC neurons compress chunked targets into lower-dimensional representations that are shi...

Working memory is capacity-limited, but interactions with episodic memory may offset this constraint. We tested moment-by-moment contributions of episodic representations to working memory by combinin...

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Current Employees: If you are currently employed at any of the Universities of Wisconsin, log in to Workday to apply through the internal application process.Job Category:FacultyEmployment Type:Regula...

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Weber's law is a rare quantitative regularity in psychology, yet its origins remain debated. Here we provide causal evidence that it arises from the more fundamental principle of efficient coding. Thi...

Humans build internal models from online observations to adapt to new environments. Here, the authors show that individuals are biased towards building models with moderate structural complexity, rega...

Abstract. Object category learning is a foundational cognitive process. Most human category learning studies involve brief paradigms lasting a few hours and show increased shape tuning in visual areas...

Over the past several years, I have had the opportunity to teach a national virtual workshop on R Programming for Psychology and Neuroscience. Supported by the National Science Foundation and hoste…

Behavioral experiments are often infeasible when stimulus spaces have many dimensions or when testing time is limited. One way to address this challenge is adaptive stimulus selection, where informati...

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...

Abstract. Prediction error during memory reactivation is posited to be a key driver of memory updating. However, prediction error leads to varied memory ou

Abstract. Young children struggle in situations involving mere possibility, such as when a target object could be in one of two possible locations. This difficulty is often interpreted as a general li...

The role of the hippocampus in resolving memory interference has been greatly elucidated by considering the relationship between the similarity of visual stimuli (input) and corresponding similarity o...

Human inference is often suboptimal in ways that vary across individuals and tasks. We propose that this variability reflects information processing limits and develop a task-general application of th...

By Nick Gaspelin and Yue Zhang Zhang, Y. & Gaspelin, N. (2026a). From capture to control: Initial capture increases learned suppression. Psychological Science. 37(4), 2…

In daily life, we often draw inferences about novel associations from prior experiences. This ability, associative inference, is thought to be a ke...