Alejandro Omar Blenkmann

A trio of brain networks dynamically orchestrates music recognition

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

STAMP-LME: A spatiotemporal surface-mapping framework for population-level iEEG

STAMP-LME provides a spatiotemporal framework for population-level iEEG analysis, enabling group-level inference without predefined regions of interest and preserving spatiotemporal resolution.

Attention reshapes the information dynamics of thalamic and cortical prediction-error learning

This study investigates how attention modulates prediction-error (PE) encoding in thalamic and cortical circuits during learning, revealing distinct informational dynamics and reorganization of PE representations.

Brain Dynamics of Mental Manipulation

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

Predictive encoding of auditory sequences in the human prefrontal cortex

The paper investigates how the human prefrontal cortex encodes auditory sequences to predict future events, showing distinct roles for orbitofrontal and lateral PFC regions.

Direct brain recordings reveal continuous encoding of structure in random stimuli

This study uses intracranial recordings to show the brain continuously encodes structure in random auditory stimuli through transitional probabilities, involving non-auditory brain regions.

Predicting the Beat Bin - Beta Oscillations Predict the Envelope Sharpness in a Rhythmic Sequence

The paper shows that pre-target beta-band neural activity predicts the sharpness of amplitude envelopes in rhythmic sequences, influencing temporal perception of sounds.

Altered hierarchical auditory predictive processing after lesions to the orbitofrontal cortex

This study examines how orbitofrontal cortex lesions affect auditory predictive processing at different hierarchical levels using ERP responses to tone sequences.

Anatomical registration of intracranial electrodes. Robust model-based localization and deformable smooth brain-shift compensation methods

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.

Decision and response monitoring during working memory are sequentially represented in the human insula

The paper uses intracranial EEG to show that different insula subregions are involved in decision-making and response monitoring during verbal working memory.

Subspace partitioning in human prefrontal cortex resolves cognitive interference

The paper identifies a coding mechanism in human prefrontal cortex that resolves interference between past and present task variables by partitioning neural activity into distinct low-dimensional states.

Quantifying Evoked Responses through Information-Theoretical Measures

The paper compares information-theoretical metrics with traditional methods to analyze evoked brain responses from intracranial EEG recordings in humans and marmoset monkeys.

Modeling intracranial electrodes

The paper models intracranial electrodes and simulates CT artifacts to evaluate and optimize electrode localization algorithms.

Population coding and oscillatory subspace synchronization integrate context into actions

This study shows how oscillatory synchrony and continuous population dynamics in prefrontal cortex integrate context into action plans during goal-directed behavior.

Auditory deviance detection in the human insula: An intracranial EEG study

This study uses intracranial EEG to show that specific regions of the human insula are involved in detecting auditory deviants.