🏆 Finalist — NIH Data Sharing Index (“S-Index”) Challenge

Vishwa Goudar

ORCID: 0000-0002-6612-3076

NeuroscienceComputer ScienceEngineering

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 3 papers. Top paper: “Schema formation in a neural population subspace underlies learning-to-learn in flexible sensorimotor problem-solving”.

Schema formation in a neural population subspace underlies learning-to-learn in flexible sensorimotor problem-solving

Nature Neuroscience(2023)10.1038/s41593-023-01293-9

N/A

0DataRank · unranked

55 citations

Barbara Peysakhovich, David J. Freedman, Elizabeth A. Buffalo, Xiao‐Jing Wang, Vishwa Goudar

Training biologically plausible recurrent neural networks on cognitive tasks with long-term dependencies

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.10.10.561588

N/A

0DataRank · unranked

3 citations

Vishwa Goudar, Xiao‐Jing Wang, Wayne Wah Ming Soo

A Comparison of Rapid Rule-Learning Strategies in Humans and Monkeys

Journal of Neuroscience(2024)10.1523/jneurosci.0231-23.2024

N/A

0DataRank · unranked

11 citations

Jeong-Woo Kim, Yue Liu, Adam J. O. Dede, Michael J. Jutras, Ivan Skelin +9 more