Vikash Gilja

NeuroscienceEngineering

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 10 papers. Top paper: “Local field potentials in a pre-motor region predict learned vocal sequences”.

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

PLoS Computational Biology(2021)10.1371/journal.pcbi.1008100

N/A

0.442DataRank · unranked

11 citations

Jairo I. Chavez, Derek H. Nguyen, Adam Kadwory, Bradley Voytek, Ezequiel M. Arneodo +3 more

Impact of Brain Surface Boundary Conditions on Electrophysiology and Implications for Electrocorticography

Frontiers in Neuroscience(2020)10.3389/fnins.2020.00763

N/A

0.425DataRank · unranked

7 citations

Martin Thunemann, Anna Devor, Vikash Gilja, Nicholas Rogers

Microscale Physiological Events on the Human Cortical Surface

Cerebral Cortex(2021)10.1093/cercor/bhab040

N/A

0DataRank · unranked

49 citations

Jimmy C. Yang, Daniel R. Cleary, Daniel J. Soper, Mila Halgren, Alexandra R. O’Donnell +38 more

Imaging through Wind an see electrode arrays reveals a small fraction of local neurons following surface MUA

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.09.01.506113

N/A

0DataRank · unranked

2 citations

Lorraine Hossain, Torbjørn V. Ness, Nicholas Rogers, Keundong Lee, Sang Heon Lee +8 more

High-performance neural population dynamics modelingenabled by scalable computational infrastructure

The Journal of Open Source Software(2023)10.21105/joss.05023

N/A

0DataRank · unranked

3 citations

Andrew R. Sedler, Jingya Huang, Chethan Pandarinath, Vikash Gilja, Aashish N. Patel

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

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.10.05.561133

N/A

0DataRank · unranked

0 citations

Jeong‐Hoon Kim, Xin Liu, Chi Ren, Abdullah Alothman, Chawina De-Eknamkul +6 more

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

Nature Nanotechnology(2024)10.1038/s41565-023-01576-z

N/A

0DataRank · unranked

61 citations

Jeong-Hoon Kim, Xin Liu, Chi Ren, Abdullah Alothman, Chawina De-Eknamkul +6 more

Stimulus Driven Single Unit Activity From Micro-Electrocorticography

Frontiers in Neuroscience(2020)10.3389/fnins.2020.00055

N/A

0DataRank · unranked

18 citations

Lorraine Hossain, Ezequiel M. Arneodo, Mehran Ganji, Nicholas Rogers, Nasim W. Vahidi +5 more

Few-shot Algorithms for Consistent Neural Decoding (FALCON) Benchmark

bioRxiv (Cold Spring Harbor Laboratory)(2024)10.1101/2024.09.15.613126

N/A

0DataRank · unranked

1 citations

Joel Ye, Chaofei Fan, Pablo Tostado-Marcos, Fabio Rizzoglio, Clay Washington +17 more

Local Field Potentials in a Pre-motor Region Predict Learned Vocal Sequences

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.06.30.179861

N/A

0DataRank · unranked

1 citations

Jairo I. Chavez, Derek H. Nguyen, Adam Kadwory, Bradley Voytek, Ezequiel M. Arneodo +3 more