How can cognitive science build generalizable theories that span the full scope of natural situations and behaviors? We argue that progress in Artificial Intelligence (AI) offers timely opportunities ...

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Language Models (LMs) exhibit two distinct mechanisms for knowledge acquisition: in-weights learning (i.e., encoding information within the model weights) and in-context learning (ICL). Although these...

A central approach in neuroscience is to analyze neural representations as a means to understand a system's function, through the use of methods like principal component analysis, regression, and repr...

Welcome to the OpenReview homepage for NeurIPS 2025 Workshop UniReps

Null space theory predicts that neurons generate spikes not only to produce behavior but also to prevent the undesirable effect of other neurons on behavior. In this work, we show that this competitiv...

The cerebellum's capacity for neural computation is arguably unmatched. Yet despite evidence of cerebellar contributions to cognition, including language, its precise role remains debated. Here, we sy...

JTN - 2025

MIT research finds the brain’s language-processing network also responds to artificial languages such as Esperanto and languages made for TV, such as Klingon on “Star Trek” and High Valyrian and Dothr...

Construction grammar posits that constructions (form-meaning pairings) are acquired through experience with language (the distributional learning hypothesis). But how much information about…

Many neuroscience students are steeped in an experiment-first style of thinking. Let’s not forget how theory can guide experiments.

Children who learn maths working in markets and children who learn maths only from school were both unable to transfer their skills to new contexts, highlighting a need to reconsider how maths is taught in school.

Many artificial neural networks (ANNs) trained with ecologically plausible objectives on naturalistic data align with behavior and neural representations in biological systems. Here, we show that this...

Ears encode sound with precisely timed spikes, but the perceptual role of this temporal coding remains uncertain. Here, the authors report that high-fidelity temporal coding is necessary for neural ne...