Models and interventions of cognition.

The process of peer review is vital to contemporary science, but is also under enormous strain. This study uses mathematical models to dissect the threats to the long-term viability of peer review, su...

A central challenge in building intelligent systems is enabling agents to jointly perceive complex inputs, form hypotheses about hidden patterns, and design informative experiments to test them. To st...

Every movement unfolds with a simple question: Where is my body? The nervous system answers through proprioception - the sense of limb position (static position sense) and movement (dynamic propriocep...

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...

On AI agents, grunt work, and the part of science that isn't replaceable.

Erst die Bafög-Absage, nun ein Reförmchen gegen prekäre Arbeitsverhältnisse an Unis. Und wieder steht die Wissenschaftsministerin in der Kritik.

Studierende sollen mehr arbeiten, findet Forschungsministerin Dorothee Bär. Sie habe schließlich auch gejobbt. Aber wie war das noch mal genau?

Progress in the use of artificial intelligence (AI) to advance scientific discovery has made it increasingly realistic to envision automated “end-to-end science” (ETES) systems: integrated pipelines t...

“It can competently perform a lot of the work I need immediately,” this professor writes

Tracking the intellectual DNA of Computational and Systems Neuroscience through its flagship meeting

Ten theses for folks who haven't noticed the ground shifting under their feet

Thomas et al. examine how dataset effects may limit the generalizability of machine learning-based models of human choice.