Jose L. Herrero

The paper shows that the auditory cortex uses joint population coding and temporal coherence to integrate voice and location features of attended talkers in multi-talker scenes.

The paper investigates neural activity during auditory conscious perception and finds similar cortical and subcortical network patterns to those observed in visual perception.

This study evaluates the neurophysiological effects of intracranial theta burst stimulation in the human sensorimotor cortex and finds increased beta band synchronization indicative of neuroplasticity.

This study uses intracranial EEG to analyze the functional organization of Heschl's gyrus during natural speech listening, revealing a gradient of acoustic and linguistic feature processing.

This paper introduces a deep neural network framework to model nonlinear sensory responses, showing improved prediction accuracy and revealing distinct nonlinear transformations in auditory regions.

This study shows that cortical responses to music encode melodic expectations, with neural signals better predicted by combining acoustic and melodic features than either alone.

This study shows that measuring neural activity during repetitive electrical stimulation can predict post-stimulation changes in brain network connectivity.

This paper improves speech reconstruction from the human auditory cortex using deep learning and speech synthesis, achieving 65% better intelligibility than previous methods.

The paper shows that face-selective brain columns match deep convolutional networks in intermediate layers, suggesting a role in pictorial face representation rather than person identification.