Browse our Review Articles

Visualizations, simulations, and examples are used to provide an accessible synthesis of the reasoning and assumptions behind commonly used causal discovery approaches.

A new computational model reveals how implicit sensorimotor adaptation is elicited to re-align one's felt and desired hand position.

A critical analysis of recent single-cell transcriptomic studies of Drosophila blood cells confirms the extreme plasticity of the major phagocyte class, identifies a new class of blood cell, and suggests relationships to blood cells in other insects.

Multiple -omics approaches have provided valuable insight into the pathobiology of pediatric acute respiratory distress syndrome, and novel unbiased techniques hold promise for future discoveries.

State-of-the-art knowledge of microscopic colitis, a disease often more prevalent than ulcerative colitis and Crohn’s disease among elderly people, is provided from a global perspective with the overall aim to create better awareness and improve rational management.

A detailed discussion of the broad range of immediate, delayed, cumulative, and third-party fitness consequences arising from outgroup conflict showcases the importance of this neglected aspect of sociality as a powerful and widespread evolutionary force.

By acting as versatile signal-processors that encode flexible coordinate representations, muscle spindles challenge current widely held views concerning the role of proprioceptors and the peripheral nervous system in sensorimotor function.

Metabolic pathways found to date in giant virus raise the question if these viral enzymes provide some level of autonomy to viruses or if they are used to expand the host metabolism.

Naturalistic animal behavior exhibits a complex organization in the temporal domain, whose variability stems from hierarchical, contextual, and stochastic sources and can be naturally explained in terms of metastable attractor models.

Increased usability and validity of neuroscience models, through FAIR workflows for the whole modeling process, including data and model management, parameter estimation, uncertainty quantification, and model analysis.