Objective. Complex spatiotemporal neural activity encodes rich information related to
behavior and cognition. Conventional research has focused on neural activity acquired …

A central challenge to cognitive neuroscience consists in decomposing complex brain
signals into an interpretable sequence of operations-an algorithm-which ultimately accounts …

Highlights•Large-scale cortical recordings reveal spontaneous dynamics on local and global
scales.•Inferred dimensionality may depend on the spatial scales of dynamics and …

The neuroimaging community heavily relies on statistical inference to explain measured
brain activity given the experimental paradigm. Undeniably, this method has led to many …

Recent work has highlighted that many types of variables are represented in each
neocortical area. How can these many neural representations be organized together without …

Spontaneous neural activity has historically been viewed as task-irrelevant noise that should
be controlled for via experimental design, and removed through data analysis. However …

An intrinsic difficulty in studying cognitive processes is that they are unobservable states that
exist in between observable responses to the sensory environment. Cognitive states must …

Neuroscientists today can measure activity from more neurons than ever before, and are
facing the challenge of connecting these brain-wide neural recordings to computation and …

Most human neuroscience research to date has focused on statistical approaches that
describe stationary patterns of localized neural activity or blood flow. While these patterns …

Cognitive functions are increasingly understood to involve coordinated activity patterns
between multiple brain regions, and their disruption by neuropsychiatric disorders is …