Ronaldo García Reyes

The paper shows neuronal loss can reshape network dynamics and limit mechanism inference in excitatory-inhibitory neural fields by separating loss effects from activity changes.

The paper develops a spectro-omic framework to relate spatial transcriptomics and laminar LFP dynamics in macaque cortex, finding transcriptomic predictors improve spectral composition prediction.

The paper introduces JSPACE, a method for estimating source precision matrices from EEG data, and applies it to create a lifespan atlas of cortical interactions.

This paper introduces BiSCA to detect nonlinearity in EEG data and finds that narrowband oscillations like Alpha and Mu rhythms exhibit significant nonlinear behavior, while broadband activity is linear and Gaussian.

The paper introduces {xi}-Net, a generative model of cortical activity that estimates EEG components and connectivity across lifespan using rsEEG data.

This paper updates a neural field model to account for variable neuron density, showing how it affects neural synchronization patterns in neurodegenerative diseases.

This paper develops multinational qEEG norms using Hermitian Riemannian methods, showing improved diagnostic accuracy for brain dysfunction and providing harmonization tools.