David Ricardo Quiroga‐Martinez

This study identifies three interacting brain networks involved in music recognition, showing how they dynamically coordinate sensory, memory, and decision processes.

This study investigates the neural mechanisms of singing and speaking by analyzing intracranial EEG data, revealing distinct sensorimotor dynamics during these behaviors.

The paper investigates how predictive processing networks change with age, finding that aging redistributes resources across subsystems rather than uniformly weakening them.

The paper investigates how inharmonicity affects neural responses to auditory stimuli, finding that it enhances attentional capture and auditory stream segregation through distinct neural mechanisms.

The paper investigates neuronal dynamics during mental sound manipulation using intracranial recordings, finding changes in local excitability and inter-areal synchrony.

The paper decodes neural representations of perceived and imagined melodies from MEG data, revealing distinct brain networks for sensory processing and abstract melody representation.

This study shows that human insula and dorsomedial prefrontal cortex encode reward prediction errors asymmetrically, with distinct neural populations for positive, negative, and unsigned RPEs.

The paper investigates how harmonicity affects brain responses to sound sequences, finding larger MMN and P3a amplitudes and earlier latencies for harmonic sounds compared to inharmonic ones.

The paper investigates how predictive processes in the brain respond to high uncertainty in musical contexts using MMN and behavioral experiments, finding robust MMN responses in atonal music but better behavioral performance in tonal contexts.

The paper shows that musicianship and melodic predictability increase neural gain in auditory cortex during pitch deviance detection, as revealed by dynamic causal modeling of MEG data.

The paper investigates how congenital amusia affects sensitivity to context uncertainty in melodic sequences using EEG, finding preserved preattentive auditory change detection but pitch-specific impairments under high uncertainty.

This paper introduces active listening as a framework for speech synthesis and recognition, showing how word boundaries are selected to maximise evidence for internal models.

The paper investigates neural responses to melodic surprise in musicians and non-musicians using IDyOM and MEG, finding that sensory adaptation, not probabilistic prediction, drives the N1m component, while later components reflect auditory regularities and expectations.

The paper shows that predictive uncertainty reduces musical prediction error responses similarly in musicians and non-musicians, suggesting dissociable effects of expertise and stimulus uncertainty.

The paper investigates how learning complex auditory patterns changes brain connectivity in auditory cortex using fMRI and dynamic causal modelling.

The paper investigates how prediction error responses change in musical contexts with varying pitch uncertainty, finding reduced mismatch negativity in high-uncertainty conditions.