Jack J. Lin

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

This study uses immersive VR to show that naturalistic visual search involves hierarchical planning with shifting attentional priorities across subgoals.

This study shows that fast and slow visual search tasks use the same cortical circuit, with differences in speed controlled by alpha-band oscillations rather than distinct circuits.

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 investigates how OFC gamma oscillations and hippocampal ripples interact during rapid spatial learning in humans using iEEG recordings.

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

This study uses human brain assembloids to model how a genetic epilepsy syndrome affects cortical and hippocampal networks differently, revealing distinct dysfunction patterns.

The paper investigates neural dynamics in medial and lateral prefrontal cortex during proactive and reactive cognitive control using intracranial EEG in a Stroop task with manipulated conflict frequency.

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.

The paper uses dynamic systems modeling to identify distinct neural subspaces during risky decision-making, showing convergence to choice-specific subspaces as decisions approach.

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.

This study evaluates whether optimizing automated HFO detection using visual markings improves SOZ localization accuracy, finding no significant improvement.

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.

The paper shows that post-encoding awake sharp-wave/ripples (aSWRs) in the human amygdala and hippocampus predict better memory discrimination of emotional stimuli.

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 theta rhythm dynamics in human hippocampal-neocortical interactions during memory formation and retrieval, finding differential theta power and directional biases in communication.

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

The paper investigates how different memory systems contribute to recalling the temporal order of events, showing distinct neural dynamics in the hippocampus and orbitofrontal cortex.

The paper investigates auditory prediction mechanisms in the human hippocampus and amygdala, finding distinct neural responses to predictable and unpredictable sound sequences.

The paper reveals that hippocampal and neocortical sharp-wave ripples have distinct functional roles during sleep, with hippocampal ripples promoting information transfer and neocortical ripples reducing interference.

This study uses intracranial recordings to show that risky choices are represented in distributed prefrontal and subcortical regions, while reward computations are more modular and localized.

The paper investigates how the human orbitofrontal cortex encodes self- and other-rewards during social decision-making, finding state-dependent changes in reward encoding based on inequity type.

This study shows REM sleep recalibrates excitation/inhibition balance, predicting memory consolidation success in humans.

The paper describes the evolution of iCn3D from a web-based 3D viewer to a batch-mode structural analysis tool with Node.js scripts for large-scale structural dataset analysis.

This paper shows that time-varying dynamics of high frequency oscillations (HFOs) are better predictors of the seizure onset zone than HFO rate alone.

The paper finds stronger bilateral kinematic encoding in the left hemisphere during arm movements, with better across-arm generalization, suggesting a dominant role of the left hemisphere in motor control.

The paper uses intracranial recordings to show the medial temporal lobe and frontal cortex are involved in visual search, with Pop-out selectivity in frontal regions.

This study examines how hippocampal sharp-wave ripples and slow-waves interact to coordinate neural activity during sleep in humans.