Pulkit Grover

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Associate Professor

Carnegie Mellon University

United States

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About

Dr. Pulkit Grover is an Associate Professor at Carnegie Mellon University, USA. His research areas encompass neuromodulation, deep brain stimulation, and neurovascular coupling, with a focus on understanding cortical function and the impact of advanced stimulation techniques. Recent publications include studies on lesion-network mapping, cell-specific effects of temporal interference stimulation, and the role of melanin in near-infrared spectroscopy measurements.

Recent Grants

Grant: Close

CAREER: Towards Green Communications Using an Information-Lens: Foundations of the Joint Design of Communication Strategies and Circuits

Open Date: 2014-01-15

Close Date: 2018-12-31

Grant: Close

EARS: Title: Energy-Efficient Millimeter-wave Communication via Adaptation and Reconfiguration

Open Date: 2013-09-15

Close Date: 2017-08-31

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Pulkit Grover

Research Interests

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About

Recent Grants

Articles (19)

Lesion-network mapping in task-dependent frequencies uncovers remote consequences of focal damage

DeepFocus: a transnasal approach for optimized deep brain stimulation of reward circuit nodes

Stereo-electroencephalography in the setting of a preexisting deep brain stimulation device: illustrative case

Cell-specific effects of temporal interference stimulation on cortical function

Information-Theoretic Tools to Understand Distributed Source Coding in Neuroscience

Exploring the impact and influence of melanin on frequency-domain near-infrared spectroscopy measurements

Exploring the impact and influence of melanin on frequency-domain near-infrared spectroscopy measurements

Focused Epicranial Brain Stimulation by Spatial Sculpting of Pulsed Electric Fields Using High Density Electrode Arrays

A model of neurovascular coupling and its application to cortical spreading depolarization

Noninvasive and reliable automated detection of spreading depolarization in severe traumatic brain injury using scalp EEG

PATHFINDER: Designing Stimulus for Neuromodulation through Data-driven Inverse Estimation of Non-linear Functions

Diffuse optical tomography spatial prior for EEG source localization in human visual cortex

Building a culture of responsible neurotech: Neuroethics as socio-technical challenges

Quantifying a frequency modulation response biomarker in responsive neurostimulation

Fairness Under Feature Exemptions: Counterfactual and Observational Measures

Guest Editorial for Special Issue on Coded Computing

Effect of skull thickness and conductivity on current propagation for noninvasively injected currents

Neural silences can be localized rapidly using noninvasive scalp EEG

Information Flow in Computational Systems

Collaborators (7)

Douglas Weber

Sanghamitra Dutta

Vasileios Kokkinos

Lori Shutter

Gary Fedder

Marlene Behrmann

Maysamreza Chamanzar

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