Ian C. Fiebelkorn

The paper investigates how low-frequency neural oscillations coordinate different working memory operations, finding distinct theta and alpha phases linked to encoding, retrieval, and distractor processing.

This study investigates how theta and alpha frequency neural activity modulates susceptibility to distractors during visual attention tasks using EEG in humans.

This paper investigates whether selective sampling of external and internal information shares a theta-rhythmic neural process using EEG and a dual-task design in humans.

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.

The paper investigates differential neural mechanisms underlying cortical gating of visual spatial attention using intracranial EEG data from epilepsy patients, revealing distinct alpha-band oscillation patterns for target enhancement and distractor suppression.

This study investigates distractor suppression in visual search tasks, finding that foreknowledge of distractor locations improves suppression, independent of pre-distractor alpha-band activity.

The paper investigates whether rhythmic temporal coordination of neural activity helps prevent representational conflicts during working memory by analyzing EEG and response times.

The paper develops a computational model of the fronto-parietal network to show how interacting rhythms enhance visual target detection sensitivity during sustained attention.

The paper shows that spike timing synchronization, not spike rate, predicts behavioral outcomes before target selection in macaques.

The paper examines pulvino-cortical interactions during theta-rhythmic sampling in macaques, finding rhythmic reweighting defines functional dissociations in the attention network.