Mapping human brain function is a long-standing goal of neuroscience that promises to
inform the development of new treatments for brain disorders. Early maps of human brain …

Abstract Systems neuroscience approaches with a focus on large-scale brain organization
and network analysis are advancing foundational knowledge of how cognitive control …

Foundation models, now powering most of the exciting applications in deep learning, are
almost universally based on the Transformer architecture and its core attention module …

Recurrent neural networks (RNNs), temporal convolutions, and neural differential equations
(NDEs) are popular families of deep learning models for time-series data, each with unique …

Biological computing (or biocomputing) offers potential advantages over silicon-based
computing in terms of faster decision-making, continuous learning during tasks, and greater …

Two different perspectives have informed efforts to explain the link between the brain and
behaviour. One approach seeks to identify neural circuit elements that carry out specific …

Fueled by breakthrough technology developments, the biological, biomedical, and
behavioral sciences are now collecting more data than ever before. There is a critical need …

Background: Analysis of the human connectome using functional magnetic resonance
imaging (fMRI) started in the mid-1990s and attracted increasing attention in attempts to …

Physics is a field of science that has traditionally used the scientific method to answer
questions about why natural phenomena occur and to make testable models that explain the …

Cognitive neuroscience has traditionally focused on simple tasks, presented sparsely and
using abstract stimuli. While this approach has yielded fundamental insights into functional …