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 ...
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.
Experiments reveal that a time-dependent epistatic interaction influences how mice respond to opioids, and that intracellular fibroblast growth factors also influence opioid sensitivity.
Collagen is the most abundant protein in the human body and has an important role in healthy tissue as well as in a range of prevalent diseases. Medical research and diagnostics hence call for means ...
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 ...
This is an important study on the sensory roles of Cerebrospinal fluid-contacting neurons (CBF-cn) in mammals. The authors identify PKD2L1 as the predominant pH-sensing channel CBF-cn and show how the ...
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 ...
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.
This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...
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.