基本信息
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职业迁徙
个人简介
My research program is focused on combining large scale data-mining and machine-learning techniques with hypothesis-driven experimental research to understand the relationships between neural oscillations, cognition, and disease.
My ultimate research goal is to construct an understanding of cognition built on the first principles of neurophysiology. Rather than asking, "What brain regions correlate with working memory or attentional load?" I ask, "Given what we know about the computational properties of neurons and neural systems, how can neural systems interact to give rise to cognitive phenomena we equate with 'attention' and 'working memory', and what are the behavioral and cognitive limitations and consequences of these biological constraints?"
In collaboration with my wife, Jessica Bolger Voytek, we built and published brainSCANr, an algorithmic approach to aggregating information from more than 2 million peer-reviewed neuroscience articles. My philosophy with regards to the role of data-driven approaches to neuroscience is that large scale data analytics can complement and guide in-lab experimental research, but should not replace it.
2020 KDD Applied Data Science Invited Panel Chair
My ultimate research goal is to construct an understanding of cognition built on the first principles of neurophysiology. Rather than asking, "What brain regions correlate with working memory or attentional load?" I ask, "Given what we know about the computational properties of neurons and neural systems, how can neural systems interact to give rise to cognitive phenomena we equate with 'attention' and 'working memory', and what are the behavioral and cognitive limitations and consequences of these biological constraints?"
In collaboration with my wife, Jessica Bolger Voytek, we built and published brainSCANr, an algorithmic approach to aggregating information from more than 2 million peer-reviewed neuroscience articles. My philosophy with regards to the role of data-driven approaches to neuroscience is that large scale data analytics can complement and guide in-lab experimental research, but should not replace it.
2020 KDD Applied Data Science Invited Panel Chair
研究兴趣
论文共 64 篇作者统计合作学者相似作者
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Brain communicationsno. 5 (2024): fcae306-fcae306
bioRxiv the preprint server for biology (2024)
crossref(2024)
bioRxiv (2023)
medrxiv(2023)
Clinical EEG and Neuroscienceno. 4 (2023): 15500594231165589-445
Dillan Elise Cellier,Eena Kosik, Michael Preston, Parsa Seyfourian,Leslie Claar,Lydia Marks,Irene Rembado,Bradley Voytek
PSYCHOPHYSIOLOGY (2023): S129-S129
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bioRxiv the preprint server for biology (2023)
Biological Psychiatryno. 9 (2023): S182-S182
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作者统计
#Papers: 63
#Citation: 3331
H-Index: 23
G-Index: 57
Sociability: 5
Diversity: 0
Activity: 1
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