Questions and controversies in the study of time-varying functional connectivity in resting fMRI
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 …
Knowledge of the spatiotemporal organization of these interactions is critical for establishing …
Exercise benefits on Alzheimer's disease: State-of-the-science
PL Valenzuela, A Castillo-García, JS Morales… - Ageing research …, 2020 - Elsevier
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 …
exercise to prevent Alzheimer's disease as well as cognitive decline in affected patients …
Uncovering the mode of action of engineered T cells in patient cancer organoids
JF Dekkers, M Alieva, A Cleven, F Keramati… - Nature …, 2023 - nature.com
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 …
solid tumors will require improved in vitro models that reveal therapeutic modes of action at …
Global waves synchronize the brain's functional systems with fluctuating arousal
We propose and empirically support a parsimonious account of intrinsic, brain-wide
spatiotemporal organization arising from traveling waves linked to arousal. We hypothesize …
spatiotemporal organization arising from traveling waves linked to arousal. We hypothesize …
[图书][B] Rebooting AI: Building artificial intelligence we can trust
G Marcus, E Davis - 2019 - books.google.com
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 …
the steps we must take to achieve a robust artificial intelligence that can make our lives …
Geometric deep learning: going beyond euclidean data
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 …
generalize (structured) deep neural models to non-Euclidean domains, such as graphs and …
Brain states and transitions: insights from computational neuroscience
ML Kringelbach, G Deco - Cell Reports, 2020 - cell.com
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 …
ways to rebalance the complex dynamic system of the human brain through controlled …
Gradients of structure–function tethering across neocortex
B Vázquez-Rodríguez, LE Suárez… - Proceedings of the …, 2019 - National Acad Sciences
The white matter architecture of the brain imparts a distinct signature on neuronal
coactivation patterns. Interregional projections promote synchrony among distant neuronal …
coactivation patterns. Interregional projections promote synchrony among distant neuronal …
Resting-state functional MRI: everything that nonexperts have always wanted to know
H Lv, Z Wang, E Tong, LM Williams… - American Journal …, 2018 - Am Soc Neuroradiology
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 …
widely used in both healthy subjects and patients with various neurologic, neurosurgical …
Higher-order organization of multivariate time series
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 …
phenomena in biology, neuroscience and economics, and to understand some of their …