Vikash Gilja

Vikash Gilja

University of California, San Diego

H-index: 34

North America-United States

About Vikash Gilja

Vikash Gilja, With an exceptional h-index of 34 and a recent h-index of 28 (since 2020), a distinguished researcher at University of California, San Diego, specializes in the field of Neural Engineering, Brain Machine Interface, ECoG, Intracortical Elecrophysiology.

His recent articles reflect a diverse array of research interests and contributions to the field:

High-density transparent graphene arrays for predicting cellular calcium activity at depth from surface potential recordings

Cellular Calcium Activity at Depth Predicted from Surface Potential Recordings using Ultra-high Density Transparent Graphene Arrays

High-performance neural population dynamics modeling enabled by scalable computational infrastructure

Imaging through Windansee electrode arrays reveals a small fraction of local neurons following surface MUA

Spatiotemporal dynamics of human high gamma discriminate naturalistic behavioral states

Neurally driven synthesis of learned, complex vocalizations

Microscale physiological events on the human cortical surface

The Argo: a high channel count recording system for neural recording in vivo

Vikash Gilja Information

University

Position

Associate Professor Electrical & Computer Engineering

Citations(all)

5256

Citations(since 2020)

2401

Cited By

3702

hIndex(all)

34

hIndex(since 2020)

28

i10Index(all)

56

i10Index(since 2020)

38

Email

University Profile Page

Google Scholar

Vikash Gilja Skills & Research Interests

Neural Engineering

Brain Machine Interface

ECoG

Intracortical Elecrophysiology

Top articles of Vikash Gilja

High-density transparent graphene arrays for predicting cellular calcium activity at depth from surface potential recordings

Nature Nanotechnology

2024/1/11

Cellular Calcium Activity at Depth Predicted from Surface Potential Recordings using Ultra-high Density Transparent Graphene Arrays

bioRxiv

2023

High-performance neural population dynamics modeling enabled by scalable computational infrastructure

Journal of Open Source Software

2023/3/21

Imaging through Windansee electrode arrays reveals a small fraction of local neurons following surface MUA

bioRxiv

2022/9/3

Spatiotemporal dynamics of human high gamma discriminate naturalistic behavioral states

PLoS computational biology

2022/8/8

Neurally driven synthesis of learned, complex vocalizations

Current Biology

2021/8/9

Vikash Gilja
Vikash Gilja

H-Index: 21

The Argo: a high channel count recording system for neural recording in vivo

Journal of neural engineering

2021/2/5

Affective response to volitional input perturbations in obstacle avoidance and target tracking games

2021/11/1

Unsupervised Channel Compression Methods in Motor Prostheses Design

2021/11/1

Vikash Gilja
Vikash Gilja

H-Index: 21

Local field potentials in a pre-motor region predict learned vocal sequences

PLOS Computational Biology

2021/9/23

Bradley Voytek
Bradley Voytek

H-Index: 23

Vikash Gilja
Vikash Gilja

H-Index: 21

Impact of brain surface boundary conditions on electrophysiology and implications for electrocorticography

Frontiers in neuroscience

2020

Stimulus driven single unit activity from micro-electrocorticography

Frontiers in neuroscience

2020/2/28

Nicholas Rogers
Nicholas Rogers

H-Index: 5

Vikash Gilja
Vikash Gilja

H-Index: 21

See List of Professors in Vikash Gilja University(University of California, San Diego)

Co-Authors

academic-engine