Kimron L. Shapiro

This study investigates whether the Theta-Induced Memory Effect (TIME) persists over time, finding it is time-limited and may reverse after overnight consolidation.

The paper examines how pre-stimulus alpha power affects theta rhythmic multisensory entrainment and memory formation in a human memory task using MEG.

This study shows higher baseline alpha power is linked to faster visual search performance, challenging the idea that alpha oscillations reduce visual processing.

The paper shows that guided visual search enhances neuronal excitability to target features and reduces it to distractors in early visual cortex using MEG and RIFT.

The paper shows that timing of sensory stimuli affects memory recall in humans, supporting STDP-like mechanisms in human episodic memory.

This study investigates how beta bursts correlate with movement synchronization to rhythmic sounds, finding that beta burst timing is modulated by low-frequency phase and correlates with behavioral variance during tapping tasks.

The paper uses a computational model to show that theta-phase and spike-timing-dependent plasticity together replicate human episodic memory effects observed in rodent studies.

The paper shows that visual awareness during the attentional blink depends on the similarity of neural representations of targets, with dissimilar representations leading to the blink effect.

This study uses EEG and MEG to show that alpha activity does not inhibit early visual processing during auditory attention, suggesting it instead facilitates signal transmission to later stages.

This study shows that fronto-medial theta oscillations coordinate posterior maintenance of working memory content, with increased load leading to higher theta power and slower frequency.

The paper investigates how category-related visual features influence conscious perception of natural images using the Attentional Blink paradigm and deep neural network activation patterns.

The paper investigates how theta oscillation phase synchronization between visual and auditory cortex predicts associative memory performance in humans.