Cheng Ly

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.

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

The paper uses time-series models to predict human EEG responses to visual stimuli and finds the simplest AR model performs as well as more complex models.

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 paper shows that modality information is efficiently encoded in piriform cortex using a novel decoding method called Shared Covariance Decoding.

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.

The paper shows sensory signals are encoded in low-dimensional subspaces correlated with upstream sensory regions, improving decoding accuracy and generalizing across sensory systems.

The paper demonstrates that the olfactory bulb encodes ortho and retronasal odor modality through mitral cell activity and shows that synaptic inhibition affects this encoding.

This study examines how background noise affects the spiking dynamics of a biophysical model of olfactory bulb mitral cells, revealing non-monotonic variability in spike timing.

This study compares spiking patterns in rat olfactory bulb mitral cells under ortho- and retronasal stimulation, finding differences in firing rates and spike covariances, and develops models to explain these differences.

This paper introduces a TD model of human decision-making with two critics to explain how serotonin and dopamine influence risk and uncertainty processing.

The paper shows that olfactory bulb mitral cells exhibit increased spiking variability at stimulus onset, contrasting with the commonly observed decrease in cortical systems.