Attentional modulation is affected by target-distractor similarity, indicating tuning sharpening as the underlying mechanism for response enhancement during object-based attention.

A novel tool enables cross-checking the quality of replay events and evaluating the effectiveness of a given replay detection method in the absence of a ground truth.

Selective sweepstakes from pervasive positive selection, rather than demographic changes or random sweepstakes reproduction, is the primary determinant of reproductive skew and genetic diversity in the highly prolific Atlantic cod.

Based on the proteomics results, T1 CRC LNM prediction models were built using machine learning, the functional differences and biomarkers between LNM-negative and LNM-positive patients were revealed.

A worm with a nervous system of only 302 neurons satisfies the necessary and sufficient conditions for value-based decision making.

A model of hippocampal replay is proposed that gives a biologically plausible account of how the hippocampus could prioritize replay and produce a variety of different replay statistics, and is efficient in driving spatial learning.

Computational modeling demonstrates that population dynamics of neural calcium activity following stimulus offset are consistent with a network mechanism based on recurrent interactions.

The glucose-sensing transcription factor MondoA regulates zebrafish epiboly via cholesterol biosynthesis genes including the human disease gene Nsdhl, revealing an unknown role for metabolic glucose signalling in vertebrate development.

The auditory system adapts to the changing acoustics of reverberant environments by temporally shifting the inhibitory tuning of cortical neurons to reduce the effects of reverberation.

There are fundamental limits to what can be learned about the origins of transcriptional noise from gene expression data alone, which can be overcome by simultaneously quantifying the abundances of linked molecular species.