Advances in fMRI real-time neurofeedback

T Watanabe, Y Sasaki, K Shibata, M Kawato - Trends in cognitive sciences, 2017 - cell.com
Functional magnetic resonance imaging (fMRI) neurofeedback is a type of biofeedback in
which real-time online fMRI signals are used to self-regulate brain function. Since its advent …

The slow oscillation in cortical and thalamic networks: mechanisms and functions

GT Neske - Frontiers in neural circuits, 2016 - frontiersin.org
During even the most quiescent behavioral periods, the cortex and thalamus express rich
spontaneous activity in the form of slow (< 1 Hz), synchronous network state transitions …

Criticality between cortical states

AJ Fontenele, NAP De Vasconcelos, T Feliciano… - Physical review …, 2019 - APS
Since the first measurements of neuronal avalanches, the critical brain hypothesis has
gained traction. However, if the brain is critical, what is the phase transition? For several …

The mechanics of state-dependent neural correlations

B Doiron, A Litwin-Kumar, R Rosenbaum… - Nature …, 2016 - nature.com
Simultaneous recordings from large neural populations are becoming increasingly common.
An important feature of population activity is the trial-to-trial correlated fluctuation of spike …

The spatial structure of correlated neuronal variability

R Rosenbaum, MA Smith, A Kohn, JE Rubin… - Nature …, 2017 - nature.com
Shared neural variability is ubiquitous in cortical populations. While this variability is
presumed to arise from overlapping synaptic input, its precise relationship to local circuit …

The dynamical regime of sensory cortex: stable dynamics around a single stimulus-tuned attractor account for patterns of noise variability

G Hennequin, Y Ahmadian, DB Rubin, M Lengyel… - Neuron, 2018 - cell.com
Correlated variability in cortical activity is ubiquitously quenched following stimulus onset, in
a stimulus-dependent manner. These modulations have been attributed to circuit dynamics …

UP-DOWN cortical dynamics reflect state transitions in a bistable network

D Jercog, A Roxin, P Bartho, A Luczak, A Compte… - Elife, 2017 - elifesciences.org
In the idling brain, neuronal circuits transition between periods of sustained firing (UP state)
and quiescence (DOWN state), a pattern the mechanisms of which remain unclear. Here we …

[HTML][HTML] Sleep slow oscillation and plasticity

I Timofeev, S Chauvette - Current opinion in neurobiology, 2017 - Elsevier
Highlights•During slow-wave sleep cortical activity is dominated by spindles and slow
waves.•During wake cortical network displays activated patterns.•Overall sleep slow wave …

Subsampled directed-percolation models explain scaling relations experimentally observed in the brain

TTA Carvalho, AJ Fontenele… - Frontiers in Neural …, 2021 - frontiersin.org
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 level …

Temporal coupling of field potentials and action potentials in the neocortex

BO Watson, M Ding, G Buzsáki - European Journal of …, 2018 - Wiley Online Library
The local field potential (LFP) is an aggregate measure of group neuronal activity and is
often correlated with the action potentials of single neurons. In recent years, investigators …