Suneil Kumar Kalia

The paper identifies and differentiates filter-induced oscillations from physiological stimulation-evoked potentials in intracranial recordings to improve DBS targeting accuracy.

The paper investigates whether quasi-evoked inhibition in Vim neurons correlates with clinical tremor reduction and its dependence on stimulation location.

This study investigates how high-frequency DBS of the thalamic Vim suppresses neuronal firing by analyzing synaptic and network-level mechanisms in patients with essential tremor.

The paper identifies order-selective cells in the human brain that represent temporal order during memory encoding and retrieval, predicting memory accuracy.

The paper examines differences in GPi neuronal activity and synaptic plasticity in Parkinson's disease and dystonia, finding distinct patterns of oscillatory activity and plasticity associated with each disorder.

The paper investigates the network mechanisms underlying thalamic deep brain stimulation and identifies key features of spiking activity in response to high-frequency stimulation.

This study shows that phase precession in human hippocampal theta oscillations correlates with memory encoding and retrieval success during naturalistic experiences.

This study examines synaptic dynamics in the subthalamic nucleus (STN) and substantia nigra pars reticulata (SNr) during high frequency stimulation, finding sustained inhibitory effects in STN compared to SNr.

The paper investigates how saccadic eye movements modulate single-unit activity in the human mesial temporal lobe and identifies a corollary discharge-like signal associated with these movements.

The paper develops a mathematical model to quantify neuronal firing rate dynamics in basal ganglia and thalamus during DBS across different frequencies, showing consistent parameter fitting with both synthetic and experimental data.

This study links single-neuron bursting to pathophysiological LFP oscillations in Parkinson's disease and essential tremor using intracranial recordings.

This study identifies neurons in the human medial temporal lobe that signal cognitive boundaries between episodic events and shows these signals correlate with memory accuracy and temporal order recall.

This study shows humans can volitionally control single neuron firing rates in memory-related brain structures through neuroprosthetic training, with associated changes in neural activity patterns.

The paper develops a computational framework to predict site-specific and frequency-dependent effects of deep brain stimulation on neuronal activity using experimental and theoretical insights.