6 papers
Phenomenological renormalization group in neuronal models near criticality
Kaio F. R. Nascimento, Daniel M. Castro, Gustavo G. Cambrainha +1
The phenomenological renormalization group (PRG) has been applied to the study of scaleinvariant phenomena in neuronal data, providing evidence for critical phenomena in the brain.…
Multifractal human signals at the edge of life reveal a heart-brain anti-correlation
Yago Emanoel Ramos, Maria Eloá do Ã, Henrique Ferraz de Arruda +3
This study investigates the terminal breakdown of human neurophysiological function through the lens of non-linear dynamics by analyzing the multifractal spectrum. Using Multifract…
Hierarchical organization of critical brain dynamics
Gustavo G. Cambrainha, Daniel M. Castro, Leonardo L. Gollo +2
The hierarchical organization of the brain is a fundamental structural principle, while brain criticality is a leading hypothesis for its collective dynamics. However, the connecti…
Revealing stimulus-dependent dynamics through statistical complexity
Edson V. de Paula, Rafael M. Jungmann, Antonio J. Fontenele +5
Advances in large-scale neural recordings have expanded our ability to describe the activity of distributed brain circuits. However, understanding how neural population dynamics di…
Criticality at work: scaling in the mouse cortex enhances performance
Gustavo G. Cambrainha, Daniel M. Castro, Nivaldo A. P. de Vasconcelos +2
The critical brain hypothesis posits that neural systems operate near a phase transition, optimizing the processing of information. While scale invariance and non-Gaussian dynamics…
Interdependent scaling exponents in the human brain
Daniel M. Castro, Ernesto P. Raposo, Mauro Copelli +1
We apply the phenomenological renormalization group to resting-state fMRI time series of brain activity in a large population. By recursively coarse-graining the data, we compute s…