The critical brain hypothesis states that biological neuronal networks, because of their
structural and functional architecture, work near phase transitions for optimal response to …

Sparse coding can improve discrimination of sensory stimuli by reducing overlap between
their representations. Two factors, however, can offset sparse coding's benefits: similar …

The ability of neural circuits to integrate information over time and across different cortical
areas is believed an essential ingredient for information processing in the brain. Temporal …

Whether cortical neurons operate in a strongly or weakly correlated dynamical regime
determines fundamental information processing capabilities and has fueled decades of …

Perceptual learning leads to improvement in behavioral performance, yet how the brain
supports challenging perceptual demands is unknown. We used two photon imaging in the …

The critical brain hypothesis has emerged as an attractive framework to understand
neuronal activity, but it is still widely debated. In this work, we analyze data from a multi …

Collective phenomena fascinate by the emergence of order in systems composed of a
myriad of small entities. They are ubiquitous in nature and can be found over a vast range of …

The scaling of correlations as a function of size provides important hints to understand
critical phenomena on a variety of systems. Its study in biological structures offers two …

Neuronal avalanches are scale-invariant neuronal population activity patterns in the cortex
that emerge in vivo in the awake state and in vitro during balanced excitation and inhibition …

While the support for the relevance of critical dynamics to brain function is increasing, there
is much less agreement on the exact nature of the advocated critical point. Thus, a …