Ramesh Chelvarajah

Characterizing neuronal and population responses to electrical stimulation in the human hippocampo-cortical network

This study examines neuronal and population responses to electrical stimulation in the human hippocampo-cortical network using single neuron activity and local field potentials in epilepsy patients.

Pronouns reactivate conceptual representations in human hippocampal neurons

The paper shows that pronouns reactivate noun-specific neurons in the human hippocampus during reading, linking memory and language at the single-cell level.

Hippocampal neurons code individual episodic memories in humans

The paper identifies hippocampal neurons that code for discrete episodic memories using rate or temporal firing codes, rather than individual elements within an episode.

Oscillations support short latency co-firing of neurons during human episodic memory formation.

This study shows that theta and gamma oscillations in the medial temporal lobe correlate with short-latency co-firing of neurons during successful episodic memory encoding.

The hippocampus as the switchboard between perception and memory

The paper identifies hippocampal gamma power as a marker of the switch from perceptual cues to mnemonic representations during memory recall, revealing hippocampal-cortical dynamics.

Theta rhythmicity governs the timing of behavioral and hippocampal responses in humans specifically during memory-dependent tasks

The paper shows that behavioral responses during memory tasks in humans exhibit rhythmicity tied to hippocampal theta oscillations, specifically for correctly remembered trials.

Directional coupling of slow and fast hippocampal gamma with neocortical alpha/beta oscillations in human episodic memory

The paper analyzes human intracranial EEG data to show directional coupling between neocortical alpha/beta and hippocampal gamma oscillations during memory formation and retrieval.

Data-driven re-referencing of intracranial EEG based on independent component analysis (ICA)

This paper challenges bipolar referencing in intracranial EEG and proposes ICA as a more effective method for isolating local brain activity.