João Ricardo Sato

This study uses fMRI and the Ising model to show ayahuasca increases brain entropy, with subacute effects correlating with acute subjective experiences.

This paper estimates the Ising temperature of the brain from fMRI data using GNNs, finding a significant negative correlation between age and temperature in typically developing children and ADHD patients.

This paper demonstrates subject-independent affective state decoding using fNIRS signals, achieving significant classification accuracies for positive, negative, and neutral emotional states.

The paper estimates the heritability of functional brain networks using a multivariate ACE model and twin data, finding genetic influences on specific networks.

This study applies deep autoencoders to structural neuroimaging data from Alzheimer's and mild cognitive impairment patients to quantify deviations from healthy norms and compare performance with traditional classifiers.

This study shows that EEG activity during a temporal categorisation task encodes both temporal and decisional information, with decisional aspects better explaining activity typically linked to timing.

The paper shows that temporal interval encoding in auditory and visual modalities shares a common neural representation, despite differences in accuracy between modalities.

The paper identifies retrosplenial cortex as a compensatory hub for contextual fear learning after dorsal hippocampal damage using network analysis of pCREB expression in rats.