Peter Brunner

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

This study investigates how vibrotactile taVNS affects working memory by comparing cortical responses during N-back tasks, finding that it enhances cortical efficiency rather than amplifying responses.

This study examines slow and fast theta oscillations across the brain in a developmental cohort, revealing spatial gradients and age-related changes linked to attention and memory.

The paper develops and validates an open-source ecosystem for implantable brain-computer interfaces and adaptive neuromodulation, demonstrating its capabilities through preclinical and human studies.

This study uses direct electrical stimulation of the human amygdala to show it enhances object memory but not scene memory, suggesting specificity in memory prioritization.

This study develops a non-human primate model of internal capsule infarct to study motor impairments and adaptations, finding persistent distal deficits and compensatory behavioral strategies.

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

This study identifies high-frequency activity bursts as markers of fast, long-range brain communication during spatial attention tasks, showing their role in behavioral accuracy and network synchronization.

This study evaluates stereo EEG-based brain-computer interfacing (BCI) in adults and children, finding that overt motor BCI is more effective than imagery BCI, with performance varying by age and cortical region.

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

This study examines how theta burst stimulation of the basolateral amygdala modulates single-neuron activity in humans during a memory task, finding that ~30% of neurons show heterogeneous responses.

The paper investigates how visual, semantic, and memorability features are encoded in the human brain using intracranial EEG and fMRI, showing distributed memorability coding and interactions between attributes.

This study maps age-related changes in aperiodic neural activity across brain regions using iEEG data from children and adults, linking these changes to cognitive development and memory performance.

This study uses computational modeling and multimodal neuroscience to show how perceptual ambiguity affects evidence accumulation in social-affective decisions, revealing a corticolimbic network involved in this process.

The paper shows that some neurons in the human amygdala and hippocampus encode face identities based on shared visual features rather than invariant semantic concepts.

This study shows vibrotactile taVNS increases low-frequency coherence in limbic brain regions in humans, with 20 Hz being most effective, but with inter-subject variability.

This paper develops a non-invasive brain-spine interface using EEG and transcutaneous spinal cord stimulation to detect movement onset and improve motor rehabilitation.

This study shows that electrical stimulation of different pulvinar subregions in epilepsy patients evokes distinct patterns of brain activity in occipital, parietal, and temporal areas.

This study examines how high-frequency broadband activity and theta oscillations coordinate during memory processing, showing that specific network connectivity patterns predict memory performance.

The paper investigates the neural circuitry underlying approach-avoidance conflict in humans using intracranial EEG, identifying theta oscillations and high-frequency activity in prefrontal-limbic regions.

The paper identifies three distinct temporal receptive window sizes in neural populations of the language network using intracranial recordings.

The paper implants a neuromodulation platform in a beagle to study brain activity, finding the anterior ectosylvian gyrus responds selectively to social reinforcement, suggesting speech understanding may evolve from social brain structures.

This study investigates whether vibrotactile taVNS improves working memory performance and arousal, finding significant improvements in performance and reduced arousal decline during high-cognitive-load tasks.

This paper introduces two algorithms, GridFit and CEPA, for accurate and automatic localization of intracranial electrodes and brain-shift compensation, validated on real patient data.

This paper introduces a novel method for detecting neural oscillations with high accuracy and specificity, outperforming traditional techniques in both simulated and real-world data.

The paper identifies a motor association area in the central sulcus that interrupts the topological map of body movements generated by the precentral gyrus.

The paper reveals that motor cortex contains inter-effector regions connected to the Cingulo-opercular network, alternating with effector-specific areas, suggesting a dual system for motor control and whole-body coordination.

The paper uses intracranial EEG data to analyze how the brain encodes and decodes music perception, identifying key roles of the right superior temporal gyri.

This study identifies the physiological mechanisms underlying event-related potentials (ERPs) in humans, finding that movement-related potentials are mainly due to endogenous additivity, while auditory evoked potentials are mostly from exogenous phase reset.

The paper uses intracranial recordings to show a neural population in human auditory cortex selectively responsive to musical song.