EPSCoR Attention Consortium
The EPSCoR Attention Consortium consists of 14 research labs across 4 universities. Collectively, they investigate the neural basis of attention using a diverse array of brain measurement methods, from single cell recording to whole brain imaging. The consortium’s goal is to better understand how to foster attentional ability in normally functioning brains, as well as in brains in which attentional systems are damaged or in need of repair.
This highly collaborative project brings together researchers from Dartmouth College and Dartmouth's Geisel School of Medicine in Hanover, NH; Montana State University in Bozeman, MT; Brown University in Providence, RI; and the University of Nevada in Reno, NV.
The EPSCoR Attention Consortium is funded by the NSF EPSCoR Grants. (Award Number: 1632738) (link to https://www.nsf.gov/od/oia/programs/epscor/index.jsp)
Members[edit]
| Consortium Members | Institution |
|---|---|
| Peter Ulric Tse (Principal Investigator) | Dartmouth College |
| Gideon Caplovitz (Co-Principal Investigator) | University of Nevada - Reno |
| Charlie Gray (Co-Principal Investigator) | Montana State University |
| David Sheinberg (Co-Principal Investigator) | Brown University |
| Alireza Soltani | Dartmouth College |
| Jeremy Manning | Dartmouth College |
| Patrick Cavanagh | Dartmouth College |
| Barabra Jobst | Dartmouth College |
| Farran Briggs | Dartmouth College |
| Marian Berryhill | University of Nevada - Reno |
| Behrad Noudoost | Montana State University |
| James Mazer | Montana State University |
| Theresa Desrochers | Brown University |
| Barry William Connors | Brown University |
Research[edit]
The Consortium’s goal is to develop a unified model of attention that applies across multiple domains, from single cells to large brain circuits. The project investigates the neural basis of attention at micro- and macroscopic scales, using a diverse array of brain imaging methods, including functional magnetic resonance imaging (fMRI), electroencephalography (EEG), and electrocardiography (EcoG), in humans and monkeys. The research is divided into four themes: 1) Neurophysiological effects of attention on multi-unit patterns and rates of neural firing, 2) The relationship of attention to working memory, 3) Large-scale cortical dynamics of attention, and 4) Tying data together via micro- and macro-circuit models of attention.
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