A computationally explicit framework can explain post-decisional neural signals of performance monitoring.

In a forced-choice auditory discrimination task, mice are more accurate if neural activity in the auditory cortex in the pre-stimulus baseline is higher and more desynchronized, but only if the previous trial was an error.

Declined coding of sensory information in the brain reflects human vigilance decrements and allows prediction of behavioural errors.

Computational modeling, and empirical behavioral and EEG results show that learning relies not only on comparing current events to past experience, but integrates response-based outcome predictions and confidence.

The caudate region of the brain signals the context in which sensory evidence is evaluated, helping animals to adapt their behavior to changing conditions.

By leveraging quantitative environmental DNA metabarcoding and ecological network analysis, influential organisms in rice fields are identified, thereby revealing potential avenues for environmentally friendly agricultural practices.

Standardizing the titles, terms and conditions under which postdocs are employed will benefit the biomedical research workforce.

pyControl is an open-source tool that makes it easy to specify complex behavioural tasks, run them at scale on low-cost hardware, and communicate task logic to other researchers.

Dorsomedial and dorsolateral striatal neural activity differ during early learning of action sequences but do not change with performance improvement across sessions, and become similar after extended training.

Neural substrates of objective vs. subjective memory states can be distinguished, including their role in supporting decisions aimed at optimizing performance.