J. Samuel Sooter

Defining and measuring proximity to criticality

The paper develops a method to measure proximity to criticality in complex systems using a temporal renormalization group and information theory, applying it to brain activity data to show shifts in criticality during wakefulness and sleep.

Emergent critical oscillations in motor cortex of Parkinson's patients

This study examines whether Parkinson's disease alters criticality in motor cortex by analyzing EEG data and finding near-critical oscillations in patients.

Decomposing the modulation of interactions between neuronal populations

The paper introduces MICs to analyze how modulators reshape interactions between neural populations using a bilinear perturbation framework, showing its effectiveness in simulations and real neural data.

Is critical brain dynamics more prevalent than previously thought?

This paper shows that criticality in brain dynamics may be more prevalent than previously thought, as traditional methods can miss it by failing to detect hidden criticality in subspaces.

Cortex deviates from criticality during action and deep sleep: a temporal renormalization group approach

The paper develops a temporal renormalization group approach to assess criticality in neural activity and finds that the relaxed awake state is closest to criticality, while deep sleep and active states deviate from it.

Low dimensional criticality embedded in high dimensional awake brain dynamics

The paper shows that awake mouse motor cortex has both a low-dimensional critical subspace and a high-dimensional desynchronized subspace, resolving a long-standing debate about cortical dynamics.