Some computers are easy to spot. Artificial, human-built computers like those found in smartphones and laptops are abstract ...

To enable more accurate estimation of connectivity, we propose a data-driven and theoretically grounded framework for optimally designing perturbation inputs, based on formulating the neural model as ...

A deep dive into how modern AI techniques unify forward modeling, inverse problem solving, and evaluation to build next-generation data-driven surrogate brains. Artificial intelligence (AI) is ...

This study uses a Bayesian framework to characterize latent brain state dynamics associated with memory encoding and performance in children, as measured with functional magnetic resonance imaging.