A longstanding goal in neuroscience has been to image membrane voltage across a population
of individual neurons in an awake, behaving mammal. Here we describe a genetically …

Striatal parvalbumin (PV) and cholinergic interneurons (CHIs) are poised to play major roles
in behavior by coordinating the networks of medium spiny cells that relay motor output. …

Methods for one-photon fluorescent imaging of calcium dynamics can capture the activity of
hundreds of neurons across large fields of view at a low equipment complexity and cost. In …

Comparatively little is known about how new instrumental actions are encoded in the brain.
Using whole-brain c-Fos mapping, we show that neural activity is increased in the anterior …

Testicular torsion is a known cause of morbidity in pediatric patients, but the burden in the
adult population is poorly understood. We sought to determine the incidence of testicular …

Recent advancements in generative artificial intelligence, particularly using large language
models (LLMs), are gaining increased public attention. We provide a perspective on the …

Quantifying the risk of progression to Alzheimer's disease (AD) could help identify persons
who could benefit from early interventions. We used data from the Alzheimer's Disease …

Game theory-inspired deep learning using a generative adversarial network provides an
environment to competitively interact and accomplish a goal. In the context of medical imaging, …

Quantifying heterogeneity in Alzheimer’s disease (AD) risk is critical for individualized care
and management. Recent attempts to assess AD heterogeneity have used structural (…

This article reviews important concepts and methods that are useful for hypothesis testing.
First, we discuss the Neyman-Pearson framework. Various approaches to optimality are …