Corinne Teeter
Allen Institute for Brain Science
21 Papers
49 Citations
Corinne Teeter is an academic researcher from Allen Institute for Brain Science. The author has contributed to research in topics: Visual cortex & Computer science. The author has an hindex of 7, co-authored 14 publications. Previous affiliations of Corinne Teeter include University of California, San Diego.
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Papers
Classification of electrophysiological and morphological neuron types in the mouse visual cortex.
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 Chong,Kirsten Crichton,Christine Cuhaciyan,Tanya L. Daigle,Rachel A. Dalley,Nick Dee,Tsega Desta,Songlin Ding,Samuel Dingman,Alyse Doperalski,Nadezhda Dotson,Tom Egdorf,Michael S. Fisher,Rebecca de Frates,Emma Garren,Marissa Garwood,Amanda Gary,Nathalie Gaudreault,Keith B. Godfrey,Melissa Gorham,Hong Gu,Caroline Habel,Kristen Hadley,James Harrington,Julie A. Harris,Alex M. Henry,DiJon Hill,Samuel R Josephsen,Sara Kebede,Lisa Kim,Matthew Kroll,Brian Lee,Tracy Lemon,Katherine E. Link,Xiaoxiao Liu,Brian Long,Rusty Mann,Medea McGraw,Stefan Mihalas,Alice Mukora,Gabe J. Murphy,Lindsay Ng,Kiet Ngo,Thuc Nghi Nguyen,Philip R. Nicovich,Aaron Oldre,Daniel Park,Sheana Parry,Jed Perkins,Lydia Potekhina,David Reid,Miranda Robertson,David Sandman,Martin Schroedter,Cliff Slaughterbeck,Gilberto J. Soler-Llavina,Josef Sulc,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 +94 more
TL;DR: A single-cell characterization pipeline is established using standardized patch-clamp recordings in brain slices and biocytin-based neuronal reconstructions to establish a morpho-electrical taxonomy of cell types for the mouse visual cortex via unsupervised clustering analysis of multiple quantitative features.
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Generalized leaky integrate-and-fire models classify multiple neuron types.
Corinne Teeter,Ramakrishnan Iyer,Vilas Menon,Vilas Menon,Nathan W. Gouwens,David Feng,Jim Berg,Aaron Szafer,Nicholas Cain,Hongkui Zeng,Michael Hawrylycz,Christof Koch,Stefan Mihalas +12 more
TL;DR: A set of generalized leaky integrate-and-fire (GLIF) models of increasing complexity are constructed to reproduce the spiking behaviors of 645 recorded neurons from 16 transgenic lines and find that high level GLIF model parameters are able to differentiateTransgenic lines comparable to electrophysiological features.
Sparse recurrent excitatory connectivity in the microcircuit of the adult mouse and human cortex.
Stephanie C. Seeman,Luke Campagnola,Pasha A. Davoudian,Alex Hoggarth,Travis A. Hage,Alice Bosma-Moody,Christopher A. Baker,Jung Hoon Lee,Stefan Mihalas,Corinne Teeter,Andrew L. Ko,Jeffrey G. Ojemann,Jeffrey G. Ojemann,Ryder P. Gwinn,Daniel L. Silbergeld,Charles Cobbs,John W. Phillips,Ed Lein,Gabe J. Murphy,Christof Koch,Hongkui Zeng,Tim Jarsky +21 more
TL;DR: It is found that connections are sparse but present among all excitatory cell classes and layers the authors sampled, and that most mouse synapses exhibited short-term depression with similar dynamics, contributing to a body of evidence describing recurrent exciteatory connectivity as a conserved feature of cortical microcircuits.
Sparse recurrent excitatory connectivity in the cortical microcircuit of the adult mouse and human
Stephanie C. Seeman,Luke Campagnola,Pasha A. Davoudian,Alex Hoggarth,Travis A. Hage,Alice Bosma-Moody,Christopher A. Baker,Jung Hoon Lee,Stefan Mihalas,Corinne Teeter,Andrew L. Ko,Jeffrey G. Ojemann,Ryder P. Gwinn,Daniel L. Silbergeld,Charles Cobbs,John W. Phillips,Ed S. Lein,Gabe J. Murphy,Christof Koch,Hongkui Zeng,Tim Jarsky +20 more
TL;DR: It is found that connections are sparse but present among all excitatory cell types and layers the authors sampled, with the most sparse connections in layers 5 and 6, which contribute to a body of evidence describing recurrent exciteatory connectivity as a conserved feature of cortical microcircuits.
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Sparse recurrent excitatory connectivity in the microcircuit of the adult mouse and human cortex
Stephanie C. Seeman,Luke Campagnola,Pasha A. Davoudian,Alex Hoggarth,Travis A. Hage,Alice Bosma-Moody,Christopher A. Baker,Jung Hoon Lee,Stefan Mihalas,Corinne Teeter,Andrew L. Ko,Jeffrey G. Ojemann,Ryder P. Gwinn,Daniel L. Silbergeld,Charles Cobbs,John W. Phillips,Ed Lein,Gabe J. Murphy,Christof Koch,Hongkui Zeng,Tim Jarsky +20 more
TL;DR: In this paper, the intralaminar connectivity within each of several classes of excitatory neurons was examined, and connections are sparse but present among all excitory cell types and layers, with the most sparse connections in layers 5 and 6.
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