Machine learning models reveal that histone marks are predictive of gene expression across human cell types and highlight important nuances between natural control and the effects of CRISPR-Cas9-based ...

A shift in the balance between two lipids – cholesterol and sphingomyelin – makes hybrid epithelial-mesenchymal cancer cells less responsive to certain chemotherapy drugs.

The representation of individual memories in a recurrent neural network can be efficiently differentiated using chaotic recurrent dynamics.

Evidence from multiple model systems supports a shift away from heme transport and toward metabolic dysfunction and oxidative stress as key drivers of TANGO2 deficiency.

This valuable study links psychological theories of chunking with a physiological implementation based on short-term synaptic plasticity and synaptic augmentation. The theoretical derivation for ...

Veronika Koren talks about pursuing a theory of neural coding that doesn’t fit a simple narrative, and the resilience it took to see it through.

In visual cortex, neural correlates of subjective perception can be generated by modulation of activity from beyond the classical receptive field (CRF). In macaque V1, activity generated by ...

It is remarkable that Raman spectra can, with the help of statistical inference, be used to predict cellular physiology and proteome composition. By making this possible, the work of Kamei et al. has ...

HIV hijacks SRRM2 to enlarge nuclear speckles, stabilizing CPSF6 puncta and promoting efficient viral replication.

Pupil dilation provides a physiological readout of information gain during the brain's internal process of belief updating in the context of associative learning.

ELF3 axis enables luminal progenitor transformation in BRCA1-deficient breast cancer by reducing genomic instability and promoting progenitor identity.