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A large-scale standardized physiological survey reveals functional organization of the mouse visual cortex

Authors :
Thuyanh V. Nguyen
Melise Edwards
Linzy Casal
Michael A. Buice
Shiella Caldejon
Derric Williams
Nathalie Gaudreault
Ryan Valenza
Nicholas Cain
Cliff Slaughterbeck
Jennifer Luviano
Saskia E. J. de Vries
Fuhui Long
Jianghong Shi
Ali Williford
Shawn R. Olsen
Stefan Mihalas
Terri L. Gilbert
Nicholas Bowles
Daniela Witten
Jed Perkins
David Feng
Nathan Sjoquist
Lu Li
Eric Shea-Brown
Michael Oliver
Wayne Wakeman
Kyla Mace
Tom Keenan
Gabriel Koch Ocker
Chris Lau
Sissy Cross
Perry Hargrave
Amy Bernard
R. Clay Reid
Jack Waters
Kate Roll
Peter Ledochowitsch
John W. Phillips
Ulf Knoblich
Felix Lee
Andrew Cho
Miranda Robertson
Peter A. Groblewski
John Galbraith
Sean Jewell
Arielle Leon
Tim A. Dolbeare
Sam Seid
Marina Garrett
Fiona Griffin
Josh D Larkin
Nika H. Keller
Robert Howard
Chinh Dang
Chris Barber
Colin Farrell
White C
Nathan Berbesque
Carol L. Thompson
Eric Lee
Jun Zhuang
Hongkui Zeng
Daniel Millman
Lydia Ng
Leonard Kuan
Christof Koch
Brandon Blanchard
David Sullivan
Jérôme Lecoq
Rachael Larsen
Lawrence Huang
Source :
Nature neuroscience
Publication Year :
2019
Publisher :
Springer Science and Business Media LLC, 2019.

Abstract

To understand how the brain processes sensory information to guide behavior, we must know how stimulus representations are transformed throughout the visual cortex. Here we report an open, large-scale physiological survey of activity in the awake mouse visual cortex: the Allen Brain Observatory Visual Coding dataset. This publicly available dataset includes the cortical activity of nearly 60,000 neurons from six visual areas, four layers, and 12 transgenic mouse lines in a total of 243 adult mice, in response to a systematic set of visual stimuli. We classify neurons on the basis of joint reliabilities to multiple stimuli and validate this functional classification with models of visual responses. While most classes are characterized by responses to specific subsets of the stimuli, the largest class is not reliably responsive to any of the stimuli and becomes progressively larger in higher visual areas. These classes reveal a functional organization wherein putative dorsal areas show specialization for visual motion signals.

Details

ISSN :
15461726 and 10976256
Volume :
23
Database :
OpenAIRE
Journal :
Nature Neuroscience
Accession number :
edsair.doi.dedup.....9a971359dddf7e5e4fd8429b419d025b