The brain is a complex, multiscale dynamical system composed of many interacting regions.
Knowledge of the spatiotemporal organization of these interactions is critical for establishing …

Although there is no unanimity, growing evidence supports the value of regular physical
exercise to prevent Alzheimer's disease as well as cognitive decline in affected patients …

Extending the success of cellular immunotherapies against blood cancers to the realm of
solid tumors will require improved in vitro models that reveal therapeutic modes of action at …

We propose and empirically support a parsimonious account of intrinsic, brain-wide
spatiotemporal organization arising from traveling waves linked to arousal. We hypothesize …

Two leaders in the field offer a compelling analysis of the current state of the art and reveal
the steps we must take to achieve a robust artificial intelligence that can make our lives …

Geometric deep learning is an umbrella term for emerging techniques attempting to
generalize (structured) deep neural models to non-Euclidean domains, such as graphs and …

Within the field of computational neuroscience there are great expectations of finding new
ways to rebalance the complex dynamic system of the human brain through controlled …

The white matter architecture of the brain imparts a distinct signature on neuronal
coactivation patterns. Interregional projections promote synchrony among distant neuronal …

Resting-state fMRI was first described by Biswal et al in 1995 and has since then been
widely used in both healthy subjects and patients with various neurologic, neurosurgical …

Time series analysis has proven to be a powerful method to characterize several
phenomena in biology, neuroscience and economics, and to understand some of their …