5 papers · 1 filter
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…
State-dependent complexity of the local field potential in the primary visual cortex
Rafael M. Jungmann, Thaís Feliciano, Leandro A. A. Aguiar +7
The local field potential (LFP) is as a measure of the combined activity of neurons within a region of brain tissue. While biophysical modeling schemes for LFP in cortical circuits…
Statistical complexity is maximized close to criticality in cortical dynamics
Nastaran Lotfi, Thaís Feliciano, Leandro A. A. Aguiar +6
Complex systems are typically characterized as an intermediate situation between a complete regular structure and a random system. Brain signals can be studied as a striking exampl…
Subsampled directed-percolation models explain scaling relations experimentally observed in the brain
Tawan T. A. Carvalho, Antonio J. Fontenele, Mauricio Girardi-Schappo +6
Recent experimental results on spike avalanches measured in the urethane-anesthetized rat cortex have revealed scaling relations that indicate a phase transition at a specific leve…
Signatures of brain criticality unveiled by maximum entropy analysis across cortical states
Nastaran Lotfi, Antonio J. Fontenele, Thaís Feliciano +8
It has recently been reported that statistical signatures of brain criticality, obtained from distributions of neuronal avalanches, can depend on the cortical state. We revisit the…