S
Stephen J. Smith
Researcher at Allen Institute for Brain Science
Publications - 127
Citations - 22271
Stephen J. Smith is an academic researcher from Allen Institute for Brain Science. The author has contributed to research in topics: Postsynaptic potential & Synapse. The author has an hindex of 59, co-authored 118 publications receiving 20466 citations. Previous affiliations of Stephen J. Smith include Stanford University & Yale University.
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Transcriptomic evidence for dense peptidergic networks within forebrains of four widely divergent tetrapods.
TL;DR: In this article, a set of at least twenty orthologous cognate pairs of neuropeptide precursor protein and receptor genes are expressed in individually sparse but heavily overlapping patterns suggesting that all forebrain neuron types are densely interconnected by local peptidergic signals.
Journal ArticleDOI
Corrigendum: NMDA-receptor activation increases cytoplasmic calcium concentration in cultured spinal cord neurones
Posted ContentDOI
Transcriptomic evidence for dense peptidergic neuromodulation networks in mouse cortex
Stephen J. Smith,Uygar Sümbül,Lucas T. Graybuck,Forrest Collman,Sharmishtaa Seshamani,Rohan Gala,Olga Gliko,Leila Elabbady,Jeremy A. Miller,Trygve E. Bakken,Zizhen Yao,Ed Lein,Hongkui Zeng,Bosiljka Tasic,Michael Hawrylycz +14 more
TL;DR: Results from deep RNA-Seq analysis of 22,439 individual mouse neocortical neurons are analyzed to generate testable predictions regarding dense peptidergic neuromodulatory networks that may play prominent roles in cortical activity homeostasis and memory engram storage.
Posted ContentDOI
A Scalable and Modular Automated Pipeline for Stitching of Large Electron Microscopy Datasets
Gayathri Mahalingam,Russel Torres,Daniel Kapner,Eric T. Trautman,Tim P. Fliss,Sharmishtaa Seshamani,Eric Perlman,R.D. Young,Sam Kinn,JoAnn Buchanan,Marc Takeno,Wenjing Yin,Daniel J. Bumbarger,R. P. Gwinn,Julie Nyhus,Ed S. Lein,Stephen J. Smith,Clay Reid,Khaled Khairy,Stephan Saalfeld,Forrest Collman,N. Macarico da Costa +21 more
TL;DR: The ASAP pipeline as mentioned in this paper is built on top of the Render [18] services used in the volume assembly of the brain of adult Drosophila melanogaster and achieves high throughput by operating on the meta-data and transformations of each image stored in a database, thus eliminating the need to render intermediate output.