| Literature DB >> 31844315 |
Saskia E J de Vries1, Jerome A Lecoq2, Michael A Buice3, Peter A Groblewski4, Gabriel K Ocker4, Michael Oliver4, David Feng4, Nicholas Cain4, Peter Ledochowitsch4, Daniel Millman4, Kate Roll4, Marina Garrett4, Tom Keenan4, Leonard Kuan4, Stefan Mihalas4, Shawn Olsen4, Carol Thompson4, Wayne Wakeman4, Jack Waters4, Derric Williams4, Chris Barber4, Nathan Berbesque4, Brandon Blanchard4, Nicholas Bowles4, Shiella D Caldejon4, Linzy Casal4, Andrew Cho4, Sissy Cross4, Chinh Dang4, Tim Dolbeare4, Melise Edwards4, John Galbraith4, Nathalie Gaudreault4, Terri L Gilbert4, Fiona Griffin4, Perry Hargrave4, Robert Howard4, Lawrence Huang4, Sean Jewell5, Nika Keller4, Ulf Knoblich4, Josh D Larkin4, Rachael Larsen4, Chris Lau4, Eric Lee4, Felix Lee4, Arielle Leon4, Lu Li4, Fuhui Long4, Jennifer Luviano4, Kyla Mace4, Thuyanh Nguyen4, Jed Perkins4, Miranda Robertson4, Sam Seid4, Eric Shea-Brown4,6, Jianghong Shi6, Nathan Sjoquist4, Cliff Slaughterbeck4, David Sullivan4, Ryan Valenza4, Casey White4, Ali Williford4, Daniela M Witten5,7, Jun Zhuang4, Hongkui Zeng4, Colin Farrell4, Lydia Ng4, Amy Bernard4, John W Phillips4, R Clay Reid4, Christof Koch4.
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.Entities:
Mesh:
Year: 2019 PMID: 31844315 PMCID: PMC6948932 DOI: 10.1038/s41593-019-0550-9
Source DB: PubMed Journal: Nat Neurosci ISSN: 1097-6256 Impact factor: 24.884