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Brain states as wave-like motifs
There is ample evidence of wave-like activity in the brain at multiple scales and levels. This
emerging literature supports the broader adoption of a wave perspective of brain activity …
emerging literature supports the broader adoption of a wave perspective of brain activity …
Brain–body states embody complex temporal dynamics
We propose a computational framework for high-dimensional brain–body states as transient
embodiments of nested internal and external dynamics governed by interoception. Unifying …
embodiments of nested internal and external dynamics governed by interoception. Unifying …
Improving power in functional magnetic resonance imaging by moving beyond cluster-level inference
Inference in neuroimaging typically occurs at the level of focal brain areas or circuits. Yet,
increasingly, well-powered studies paint a much richer picture of broad-scale effects …
increasingly, well-powered studies paint a much richer picture of broad-scale effects …
Large-scale neural dynamics in a shared low-dimensional state space reflect cognitive and attentional dynamics
Cognition and attention arise from the adaptive coordination of neural systems in response
to external and internal demands. The low-dimensional latent subspace that underlies large …
to external and internal demands. The low-dimensional latent subspace that underlies large …
The tip of the iceberg: A call to embrace anti-localizationism in human neuroscience research
Human neuroscience research remains largely preoccupied with map** distinct brain
areas to complex psychological processes and features of mental health disorders. While …
areas to complex psychological processes and features of mental health disorders. While …
Numerical bifurcation analysis of PDEs from lattice Boltzmann model simulations: a parsimonious machine learning approach
We address a three-tier data-driven approach for the numerical solution of the inverse
problem in Partial Differential Equations (PDEs) and for their numerical bifurcation analysis …
problem in Partial Differential Equations (PDEs) and for their numerical bifurcation analysis …
Multi-view manifold learning of human brain-state trajectories
The complexity of the human brain gives the illusion that brain activity is intrinsically high-
dimensional. Nonlinear dimensionality-reduction methods such as uniform manifold …
dimensional. Nonlinear dimensionality-reduction methods such as uniform manifold …
Cognitive and neural state dynamics of narrative comprehension
Narrative comprehension involves a constant interplay of the accumulation of incoming
events and their integration into a coherent structure. This study characterizes cognitive …
events and their integration into a coherent structure. This study characterizes cognitive …
Rapid fluctuations in functional connectivity of cortical networks encode spontaneous behavior
Experimental work across species has demonstrated that spontaneously generated
behaviors are robustly coupled to variations in neural activity within the cerebral cortex …
behaviors are robustly coupled to variations in neural activity within the cerebral cortex …
Integration and segregation manifolds in the brain ensure cognitive flexibility during tasks and rest
Adapting to a constantly changing environment requires the human brain to flexibly switch
among many demanding cognitive tasks, processing both specialized and integrated …
among many demanding cognitive tasks, processing both specialized and integrated …