Optogenetic tools enable sophisticated measurements of a voltage-gated sodium channel implicated in pain, as well as high-throughput screening of candidate channel blockers.

Discrepancies between functional responses measured with electrophysiology and calcium imaging can be largely reconciled by considering the spike-to-calcium transfer function, neuronal sampling bias, and cluster merging artifacts during spike sorting.

Using simultaneous recordings of electrophysiology, respiration, and resting-state fMRI, a respiration-associated neural network is identified.

There is a disparity in temporal and spatial relationships between resting-state electrophysiological and functional magnetic resonance imaging (fMRI) signals, suggesting the electrophysiological signal alone cannot fully explain the effects observed in the resting-state fMRI signal.

Molecular dynamics simulations reveal that D-serine competes with glutamate for binding to the NMDA receptor, a finding supported by electrophysiology experiments with consequences for D-serine-focused therapeutic strategies for myriad neurological disorders.

Electrophysiology identifies a population of fan-shaped body neurons that encode airflow in two directions relative to the fly midline and whose silencing disrupts proper orientation to airflow.

The intermediate state conformation of the human KCNQ1 potassium channel voltage sensor domain was determined, validated, and shown to be conductive under physiological conditions.

A novel mathematical method for screening new drugs for pro-arrhythmic cardiotoxicity without using animals or costly drug-specific computer simulations is proposed.

Predicting age jointly from multimodal brain images and electrophysiology with machine learning enhances detecting health issues and facets of cognitive decline.

Neurons can be tracked in mice implanted with Neuropixels 2.0 probes for up to 8 weeks using visual receptive fields to score tracking in the absence of reference data.