Functional magnetic resonance imaging (fMRI) enables non-invasive access to the awake,
behaving human brain. By tracking whole-brain signals across a diverse range of cognitive …

Empirical observations of how labs conduct research indicate that the adoption rate of open
practices for transparent, reproducible, and collaborative science remains in its infancy. This …

State space models (SSMs) have demonstrated state-of-the-art sequence modeling
performance in some modalities, but underperform attention in language modeling …

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

This report is the second part of a comprehensive two-part series aimed at reviewing an
extensive and diverse toolkit of novel methods to explore brain health and function. While …

Quality control of MRI is essential for excluding problematic acquisitions and avoiding bias
in subsequent image processing and analysis. Visual inspection is subjective and …

Understanding object representations requires a broad, comprehensive sampling of the
objects in our visual world with dense measurements of brain activity and behavior. Here …

Defining reference models for population variation, and the ability to study individual
deviations is essential for understanding inter-individual variability and its relation to the …

Integrating neural cultures developed through synthetic biology methods with digital
computing has enabled the early development of Synthetic Biological Intelligence (SBI) …

Deep learning technologies have dramatically reshaped the field of medical image
registration over the past decade. The initial developments, such as regression-based and U …