Author summary The human cerebral cortex is thought to encode sensory information in population activity patterns, but the statistical structure of these population codes has yet to be characterized. ...

The reinforcement learning community has made significant progress in understanding dopamine (DA) in reward learning, cognitive control, and motivatio…

In EEG and fMRI analysis, researchers choose from a combinatorially large set of theoretically indistinguishable options while building a data processing pipeline based on individual beliefs and other...

Aperiodic neural activity - activity with no characteristic frequency - has increasingly become a common feature of study, including in clinical work. Reports investigating aperiodic activity from pat...

Nature Communications - People often discard incoming information when it contradicts their pre-existing beliefs about the world. Here, the authors show that this discarded information is precisely...

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Background Dementia is associated with psychiatric symptoms but the effects of antidepressants on cognitive function in dementia are understudied. We aimed to investigate the association between antid...

We predict how our actions will influence the world around us. Prevailing models in the action control literature propose that we use these predictions to suppress or “cancel” perception of expected a...

Neural entrainment has become a popular technique to non-invasively manipulate brain rhythms via external, periodic stimulation. However, there is still debate regarding its underlying mechanisms and ...

Sequential information permeates daily activities, such as when watching for the correct series of buildings to determine when to get off the bus or train. These sequences include periodicity (the…

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Sleep improves cognitive performance, yet little is known about the neural mechanisms of this improvement. We performed multielectrode recording in macaque visual and dorsolateral prefrontal cortex wh...

Neuronal function is intimately tied to axodendritic polarity. Neurotransmitter release, for example

Assessing the influence of common mutations on rare disease risk.

Low precision training and inference affect both the quality and cost of language models, but current scaling laws do not account for this. In this work, we devise "precision-aware" scaling laws for b...

The concept of factorial invariance has evolved since it originated in the 1930s as a criterion for the usefulness of the multiple factor model; it has become a form of analysis supporting the vali...

Automated amygdala segmentation is one of the most common tasks in human neuroscience research. Howe

Tasked with finding better ways to conduct, distribute and fund research, the unit could set the standard for government-led ‘science of science’ initiatives. Tasked with finding better ways to conduc...