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.

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.

Mouse superior colliculus is involved in figure detection based on differences in contrast and texture orientation and phase.

A combination of mathematical modeling and live-cell imaging reveals a strategy for the rational control over cell electrophysiology though modulation of ion channel expression.