Agustín Lage‐Castellanos

The paper shows that out-of-sample R2 in fMRI encoding models is biased and develops a framework to correct it for unbiased model comparison.

This study evaluates two versions of NORDIC denoising on submillimeter auditory fMRI data, finding improved detection sensitivity and reliability but reduced average response amplitude.

This study uses fMRI and encoding models to show that the EBA represents body stimuli through a combination of low-level visual features and postural features.

This study shows that selective attention reduces auditory cortex responses to attended frequencies in humans using high-resolution fMRI, contrasting with previous findings.

The paper examines intra-V1 networks during perceptual tasks, finding condition-specific connection strengths linked to visual field regions.

The paper identifies cortical regions specialized for processing global and local shape levels in visual objects and shows they form distinct functional pathways within the ventral-temporal-cortex.

The paper maps the human subcortical auditory system using histology, post mortem MRI, and in vivo 7T MRI, creating atlases and connectivity maps with high-resolution data.

The paper presents a method to predict representational dissimilarity matrices by combining perceptual, categorical, and deep neural network-derived RDMs.

This paper introduces a new analytical method for estimating the noise ceiling in fMRI data, comparing it to existing methods and showing its advantages for real data.