日期 影响因子
日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:
–

A framework for rigorous evaluation of human performance in human and machine learning comparison studies

用于严格评估人类在人类与机器学习对比研究中表现的框架

期刊:Scientific Reports
影响因子:3.9
doi:10.1038/s41598-022-08078-3
Cowley, Hannah P; Natter, Mandy; Gray-Roncal, Karla; Rhodes, Rebecca E; Johnson, Erik C; Drenkow, Nathan; Shead, Timothy M; Chance, Frances S; Wester, Brock; Gray-Roncal, William
发表日期：2022
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Online learning for orientation estimation during translation in an insect ring attractor network

昆虫环状吸引子网络中平移过程中方向估计的在线学习

期刊:Scientific Reports
影响因子:3.9
doi:10.1038/s41598-022-05798-4
Robinson, Brian S; Norman-Tenazas, Raphael; Cervantes, Martha; Symonette, Danilo; Johnson, Erik C; Joyce, Justin; Rivlin, Patricia K; Hwang, Grace M; Zhang, Kechen; Gray-Roncal, William
发表日期：2022
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Connectomics Annotation Metadata Standardization for Increased Accessibility and Queryability

连接组学注释元数据标准化以提高可访问性和可查询性

期刊:Frontiers in Neuroinformatics
影响因子:2.5
doi:10.3389/fninf.2022.828458
Sanchez, Morgan; Moore, Dymon; Johnson, Erik C; Wester, Brock; Lichtman, Jeff W; Gray-Roncal, William
发表日期：2022
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The Brain Observatory Storage Service and Database (BossDB): A Cloud-Native Approach for Petascale Neuroscience Discovery

脑观测站存储服务和数据库（BossDB）：面向百亿亿次级神经科学发现的云原生方法

期刊:Frontiers in Neuroinformatics
影响因子:2.5
doi:10.3389/fninf.2022.828787
Hider, Robert Jr; Kleissas, Dean; Gion, Timothy; Xenes, Daniel; Matelsky, Jordan; Pryor, Derek; Rodriguez, Luis; Johnson, Erik C; Gray-Roncal, William; Wester, Brock
Neuroscience
神经科学
发表日期：2022
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DotMotif: an open-source tool for connectome subgraph isomorphism search and graph queries

DotMotif：一款用于连接组子图同构搜索和图查询的开源工具

期刊:Scientific Reports
影响因子:3.9
doi:10.1038/s41598-021-91025-5
Matelsky, Jordan K; Reilly, Elizabeth P; Johnson, Erik C; Stiso, Jennifer; Bassett, Danielle S; Wester, Brock A; Gray-Roncal, William
发表日期：2021
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Eliminating accidental deviations to minimize generalization error and maximize replicability: Applications in connectomics and genomics

消除意外偏差以最大限度地减少概括误差并最大限度地提高可重复性：在连接组学和基因组学中的应用

期刊:PLoS Computational Biology
影响因子:3.6
doi:10.1371/journal.pcbi.1009279
Bridgeford, Eric W; Wang, Shangsi; Wang, Zeyi; Xu, Ting; Craddock, Cameron; Dey, Jayanta; Kiar, Gregory; Gray-Roncal, William; Colantuoni, Carlo; Douville, Christopher; Noble, Stephanie; Priebe, Carey E; Caffo, Brian; Milham, Michael; Zuo, Xi-Nian; Vogelstein, Joshua T
发表日期：2021
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An Integrated Toolkit for Extensible and Reproducible Neuroscience

用于可扩展和可重复神经科学的集成工具包

期刊:
影响因子:
doi:10.1109/EMBC46164.2021.9630199
Matelsky, Jordan K; Rodriguez, Luis M; Xenes, Daniel; Gion, Timothy; Hider, Robert; Wester, Brock A; Gray-Roncal, William
Neuroscience
发表日期：2021
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CONFIRMS: A Toolkit for Scalable, Black Box Connectome Assessment and Investigation

CONFIRMS：用于可扩展的黑箱连接组评估和研究的工具包

期刊:
影响因子:
doi:10.1109/EMBC46164.2021.9630109
Bishop, Caitlyn; Matelsky, Jordan; Wilt, Miller; Downs, Joseph; Rivlin, Patricia; Plaza, Stephen; Wester, Brock; Gray-Roncal, William
多发性硬化症
发表日期：2021
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A three-dimensional thalamocortical dataset for characterizing brain heterogeneity

用于表征大脑异质性的三维丘脑皮质数据集

期刊:Scientific Data
影响因子:6.9
doi:10.1038/s41597-020-00692-y
Prasad, Judy A; Balwani, Aishwarya H; Johnson, Erik C; Miano, Joseph D; Sampathkumar, Vandana; De Andrade, Vincent; Fezzaa, Kamel; Du, Ming; Vescovi, Rafael; Jacobsen, Chris; Kording, Konrad P; Gürsoy, Doga; Gray Roncal, William; Kasthuri, Narayanan; Dyer, Eva L
神经科学
发表日期：2020
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Toward a scalable framework for reproducible processing of volumetric, nanoscale neuroimaging datasets

构建可扩展的框架，用于可重复处理体积纳米级神经影像数据集

期刊:Gigascience
影响因子:3.9
doi:10.1093/gigascience/giaa147
Johnson, Erik C; Wilt, Miller; Rodriguez, Luis M; Norman-Tenazas, Raphael; Rivera, Corban; Drenkow, Nathan; Kleissas, Dean; LaGrow, Theodore J; Cowley, Hannah P; Downs, Joseph; K Matelsky, Jordan; J Hughes, Marisa; P Reilly, Elizabeth; A Wester, Brock; L Dyer, Eva; P Kording, Konrad; R Gray-Roncal, William
发表日期：2020
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