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Brett L. Foster

Researcher at Baylor College of Medicine

Publications -  59
Citations -  2958

Brett L. Foster is an academic researcher from Baylor College of Medicine. The author has contributed to research in topics: Visual cortex & Default mode network. The author has an hindex of 27, co-authored 53 publications receiving 2311 citations. Previous affiliations of Brett L. Foster include Stanford University & Swinburne University of Technology.

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Electrical Stimulation of Human Fusiform Face-Selective Regions Distorts Face Perception

TL;DR: The findings reveal a striking convergence of fMRI, ECoG, and EBS, which together offer a rare causal link between functional subsets of the human FG network and face perception.
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A Brain Area for Visual Numerals

TL;DR: Because visual numerals are culturally dependent symbols that are only learned through education, the novel finding of anatomically localized preferential response to such symbols provides a new example of acquired category-specific responses in the human visual system.
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Electrical Stimulation of the Left and Right Human Fusiform Gyrus Causes Different Effects in Conscious Face Perception

TL;DR: The relationship between correlative versus causal nature of ECoG and EBS is examined, and important insight is provided into the differential roles of the right versus left FG in conscious face perception.
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Asynchronous broadband signals are the principal source of the BOLD response in human visual cortex

TL;DR: The relationship between electric field potentials measured with electrocorticography (ECoG) and the blood oxygen level-dependent (BOLD) response measured with functional magnetic resonance imaging (fMRI) is investigated.
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Hand posture classification using electrocorticography signals in the gamma band over human sensorimotor brain areas

TL;DR: The results suggest that ECoG is a plausible source of command signals for prosthetic grasp selection and avenues remain for improvement through better electrode designs and placement, better participant training, and characterization of non-stationarities such that E coG could be a viable signal source for grasp control for amputees or individuals with paralysis.