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Greg Hood

Researcher at Pittsburgh Supercomputing Center

Publications -  20
Citations -  1744

Greg Hood is an academic researcher from Pittsburgh Supercomputing Center. The author has contributed to research in topics: Visual cortex & Pre-exposure prophylaxis. The author has an hindex of 9, co-authored 18 publications receiving 1353 citations.

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Network anatomy and in vivo physiology of visual cortical neurons

TL;DR: This work used two-photon calcium imaging to characterize a functional property—the preferred stimulus orientation—of a group of neurons in the mouse primary visual cortex and large-scale electron microscopy of serial thin sections was used to trace a portion of these neurons’ local network.
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Anatomy and function of an excitatory network in the visual cortex

TL;DR: Physiological imaging and large-scale electron microscopy are combined to study an excitatory network in superficial mouse visual cortex and found that layer 2/3 neurons organized into subnetworks defined by anatomical connectivity, with more connections within than between groups.
Posted ContentDOI

A multimodal cell census and atlas of the mammalian primary motor cortex

Ricky S. Adkins, +247 more
- 07 Oct 2021 - 
TL;DR: This study reveals a unified molecular genetic landscape of cortical cell types that congruently integrates their transcriptome, open chromatin and DNA methylation maps, and establishes a unified and mechanistic framework of neuronal cell type organization that integrates multi-layered molecular genetic and spatial information with multi-faceted phenotypic properties.
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Online Analysis of Functional MRI Datasets on Parallel Platforms

TL;DR: A new capability for analyzing and visualizing brain activity while a subject is performing a cognitive or perceptual task in a magnetic resonance scanner is described.
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NEOSIM: Portable large-scale plug and play modelling

TL;DR: The design of the NEOSIM framework is presented, and its applicability to a range of modelling studies is discussed, to reduce simulation run times to manageable levels.