Tiago L. Ribeiro

The paper shows that cortical neuron ensembles scale critically without cooperative amplification, maintaining stationary dynamics and increasing representational specificity.

The paper shows novel spikes in the cortex disproportionately influence neighboring neurons through power-law scaling, suggesting critical dynamics enable efficient novelty detection.

The paper corrects scaling biases in neuronal avalanche analysis by showing that temporal coarse-graining and firing threshold adjustments restore the expected quadratic scaling exponent, χ = 2, even with sparse sampling.

The paper shows cortical cell assemblies synchronize as scale-invariant parabolic avalanches with quadratic growth in duration, indicating critical dynamics in brain activity.

The paper explores similarities in scale-free dynamics between animal group flocking and brain neuronal activity, suggesting phase transitions underlie efficient information propagation.