As data sharing has become more prevalent, three pillars-archives, standards, and analysis
tools-have emerged as critical components in facilitating effective data sharing and …

The neurophysiology of cells and tissues are monitored electrophysiologically and optically
in diverse experiments and species, ranging from flies to humans. Understanding the brain …

The neural population spiking activity recorded by intracortical brain-computer interfaces
(iBCIs) contain rich structure. Current models of such spiking activity are largely prepared for …

Denoising diffusion probabilistic models (DDPMs) have recently been shown to accurately
generate complicated data such as images, audio, or time series. Experimental and clinical …

Neuroscientists and neuroengineers have long relied on multielectrode neural recordings to
study the brain. However, in a typical experiment, many factors corrupt neural recordings …

Technological advancements have substantially increased computational power and data
availability, enabling the application of powerful machine-learning (ML) techniques across …

Objective. Recent advances in neural decoding have accelerated the development of brain–
computer interfaces aimed at assisting users with everyday tasks such as speaking, walking …

The field of general time series analysis has recently begun to explore unified modeling,
where a common architectural backbone can be retrained on a specific task for a specific …

Artificial intelligence (AI) is a fast-growing field focused on modeling and machine
implementation of various cognitive functions with an increasing number of applications in …

Across the life sciences, an ongoing effort over the last 50 years has made data and
methods more reproducible and transparent. This openness has led to transformative …