Theoretical and Computational Physics

Simulating neural network criticality and resource dynamics with Rydberg gases

This paper experiments with Rydberg gases to simulate neural network criticality and resource dynamics, finding peak temporal correlations and stochastic oscillations at criticality.

Critical Scaling Laws and Universality Classes in Biomolecular Condensates

The paper investigates criticality in biomolecular condensates using simulations, identifying critical exponents and two universality classes based on molecular interactions.

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.

The 2D Ising model, criticality and AIT

The paper uses the 2D Ising model to explore links between criticality and complexity, focusing on phase transitions and their implications for neuroscience and information theory.

Reconciliation of theoretical and empirical brain criticality via network heterogeneity

This paper introduces a heterogeneous neural network model that reconciles discrepancies between theoretical and empirical brain criticality by incorporating synchronization effects in feedforward connectivity.