Raúl Hernández-Pérez

This study shows that dogs and humans have similar neural representations of human bodily emotions, with happiness and anger encoded asymmetrically in distinct brain regions.

The paper presents a bioacoustic dataset of dog-human social play vocalizations with annotations and metadata, showing acoustic differences across individuals.

The paper generates a multi-scale functional dog brain atlas using spatially constrained spectral clustering and validates its replicability and coherence across scales.

This study compares fMRI data from dogs and humans to show differences in how their visual cortex processes animacy, finding less concentrated neural representations in dogs.

The paper investigates how humans integrate tactile information over time, finding that they accumulate sensory evidence up to 600 ms of a 1800 ms stimulus, favoring a bounded accumulation model over independent sampling.

This study uses fMRI to show that dogs' brains represent human emotions, specifically highlighting happiness, and can predict observed emotions using classifiers.