Abstract

Effective task execution requires the representation of multiple task-related variables that determine how stimuli lead to correct responses. Even the primary visual cortex (V1) represents other task-related variables such as expectations, choice, and context. However, it is unclear how V1 can flexibly accommodate these variables without interfering with visual representations. We trained mice on a context-switching cross-modal decision task, where performance depends on inferring task context. We found that the context signal that emerged in V1 was behaviorally relevant as it strongly covaried with performance, independent from movement. Importantly, this signal was integrated into V1 representation by multiplexing visual and context signals into orthogonal subspaces. In addition, auditory and choice signals were also multiplexed as these signals were orthogonal to the context representation. Thus, multiplexing allows V1 to integrate visual inputs with other sensory modalities and cognitive variables to avoid interference with the visual representation while ensuring the maintenance of task-relevant variables.

Sensory cortex has been primarily shown to represent environmental stimuli. Here, the authors find that the geometry of visual cortical activity permits the parallel representation of stimuli and task context in a format that prevents interference.

Details

Title
Continuous multiplexed population representations of task context in the mouse primary visual cortex
Author
Hajnal, Márton Albert 1   VIAFID ORCID Logo  ; Tran, Duy 2 ; Einstein, Michael 3 ; Martelo, Mauricio Vallejo 3   VIAFID ORCID Logo  ; Safaryan, Karen 3 ; Polack, Pierre-Olivier 4   VIAFID ORCID Logo  ; Golshani, Peyman 5   VIAFID ORCID Logo  ; Orbán, Gergő 1   VIAFID ORCID Logo 

 Wigner Research Center for Physics, Department of Computational Sciences, Budapest, Hungary (GRID:grid.419766.b) (ISNI:0000 0004 1759 8344) 
 University of California, Los Angeles, Department of Neurology, David Geffen School of Medicine, Los Angeles, USA (GRID:grid.19006.3e) (ISNI:0000 0000 9632 6718); Albert Einstein College of Medicine, New York, USA (GRID:grid.251993.5) (ISNI:0000 0001 2179 1997) 
 University of California, Los Angeles, Department of Neurology, David Geffen School of Medicine, Los Angeles, USA (GRID:grid.19006.3e) (ISNI:0000 0000 9632 6718) 
 Rutgers University, Center for Molecular and Behavioral Neuroscience, Newark, USA (GRID:grid.430387.b) (ISNI:0000 0004 1936 8796) 
 University of California, Los Angeles, Department of Neurology, David Geffen School of Medicine, Los Angeles, USA (GRID:grid.19006.3e) (ISNI:0000 0000 9632 6718); University of California, Los Angeles, Integrative Center for Learning and Memory, Brain Research Institute, Los Angeles, USA (GRID:grid.19006.3e) (ISNI:0000 0000 9632 6718); West Los Angeles VA Medical Center, Los Angeles, USA (GRID:grid.416792.f) 
Pages
6687
Publication year
2023
Publication date
2023
Publisher
Nature Publishing Group
e-ISSN
20411723
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2879635605
Copyright
© The Author(s) 2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.