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 study presents data on the possible connection of respiratory pathologies like pneumonia in a cohort of dolphins with altered composition and concomitant perturbed biophysical properties of ...
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 ...
Pupil dilation provides a physiological readout of information gain during the brain's internal process of belief updating in the context of associative learning.
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.
A low-dimensional voice latent space derived from deep learning captures speaker-identity representations in the temporal voice areas and supports reconstruction of voices preserving identity ...
Coordinated eye-body movements are essential for adaptive behavior, yet little is known about how multisensory input, particularly chemosensory cues, shapes this coordination. Using our enhanced ...
The representation of individual memories in a recurrent neural network can be efficiently differentiated using chaotic recurrent dynamics.
ELF3 axis enables luminal progenitor transformation in BRCA1-deficient breast cancer by reducing genomic instability and promoting progenitor identity.
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.
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 ...