Open AccessClassification of electrophysiological and morphological neuron types in the mouse visual cortex
Author(s) -
Nathan W. Gouwens,
Staci A. Sorensen,
Jim Berg,
Changkyu Lee,
Tim Jarsky,
Jonathan T. Ting,
Susan M. Sunkin,
David Feng,
Costas A. Anastassiou,
Eliza Barkan,
Kris Bickley,
Nicole Blesie,
Thomas Braun,
Krissy Brouner,
Agata Budzillo,
Shiella Caldejon,
Tamara Casper,
Dan Castelli,
Peter Han Joo Chong,
Kirsten Crichton,
Christine Cuhaciyan,
Tanya L. Daigle,
Rachel Dalley,
Nick Dee,
Tsega Desta,
Shilei Ding,
Samuel Dingman,
Alyse Doperalski,
Nadezhda Dotson,
Tom Egdorf,
Michael Fisher,
Rebecca de Frates,
Emma Garren,
Marissa Garwood,
Amanda Gary,
Nathalie Gaudreault,
Keith B. Godfrey,
Melissa Gorham,
Hongcang Gu,
Caroline Habel,
Kristen Hadley,
James Harrington,
Julie A. Harris,
Alex M. Henry,
DiJon Hill,
Sam Josephsen,
Sara Kebede,
Lisa Kim,
Matthew Kroll,
Brian Lee,
Tracy Lemon,
Katherine E. Link,
Huan Liu,
Brian Long,
Rusty Mann,
Mary McGraw,
Ştefan Mihalaş,
Alice Mukora,
Gabe J. Murphy,
Lindsay Ng,
Kiet Ngo,
Philip R. Nicovich,
Aaron Oldre,
Daniel Park,
Sheana Parry,
Jed Perkins,
Lydia Potekhina,
David Reid,
Miranda Robertson,
David Sandman,
Martin Schroedter,
Cliff Slaughterbeck,
Gilberto Soler-Llavina,
Josef Šulc,
Aaron Szafer,
Bosiljka Tasic,
Naz Taskin,
Corinne Teeter,
Nivretta Thatra,
Herman Tung,
Wayne Wakeman,
Grace Williams,
Rob Young,
Zhi Zhou,
Colin Farrell,
Hanchuan Peng,
Michael Hawrylycz,
Ed Lein,
Lydia Ng,
Anton Arkhipov,
Amy Bernard,
John W. Phillips,
Hongkui Zeng,
Christof Koch
Publication year - 2019
Publication title -
nature neuroscience
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 13.403
H-Index - 422
eISSN - 1546-1726
pISSN - 1097-6256
DOI - 10.1038/s41593-019-0417-0
Subject(s) - neuroscience , cell type , visual cortex , biology , biocytin , electrophysiology , neuron , cerebral cortex , cell , genetics
Understanding the diversity of cell types in the brain has been an enduring challenge and requires detailed characterization of individual neurons in multiple dimensions. To systematically profile morpho-electric properties of mammalian neurons, we established a single-cell characterization pipeline using standardized patch-clamp recordings in brain slices and biocytin-based neuronal reconstructions. We built a publicly accessible online database, the Allen Cell Types Database, to display these datasets. Intrinsic physiological properties were measured from 1,938 neurons from the adult laboratory mouse visual cortex, morphological properties were measured from 461 reconstructed neurons, and 452 neurons had both measurements available. Quantitative features were used to classify neurons into distinct types using unsupervised methods. We established a taxonomy of morphologically and electrophysiologically defined cell types for this region of the cortex, with 17 electrophysiological types, 38 morphological types and 46 morpho-electric types. There was good correspondence with previously defined transcriptomic cell types and subclasses using the same transgenic mouse lines.