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Grant: Project Grant

McGill University

$998,325.00

Multiscale analysis of visual object recognition in the mouse

EF 2022-23

Résumé
Our world is composed of things: trees and buildings, cars and sidewalks, people and pets, desks and pens. One of the most important jobs for our visual system is to parse the world into its building blocks - objects. Indeed, our brain dedicates a large amount of space to visual object recognition. Years of work in humans and non-human primates have identified the 'ventral visual stream' - a set of cortical brain areas extending from primary visual cortex towards the temporal lobe - as a crucial system for enabling visual object recognition. However, the algorithms that the brain uses to enable objects to be recognized in the world remain poorly understood. Fortunately advances over the last years in neuroscience techniques mean it is now increasingly possible to record responses from countless neurons in vivo and manipulate neuronal activity with high spatial and temporal precision all while performing complex behavioral tests. Unfortunately, many of the most cutting-edge approaches are mostly restricted to use in mice, and our understanding of visual object recognition and 'ventral stream' processing is very limited in rodents. As such, here we propose a host of experiments to provide significant insights into visual object processing in the mouse brain, that should open the door for us and others to utilize this powerful animal model system for significantly enhancing our knowledge related to how the brain encodes visual objects.
Programme
Project Grant
Bénéficiaire
Emplacement
Quebec, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
CIHR Funding Decisions Database

Tel que publié

Id
469984
Name
Trenholm Stuart
Region
Québec
Country
Canada
Orgtype
Institution Paid; Research Institution
Instname2
Neurosciences, Mental Health and Addiction
Theme2
Biomedical
Prcname2
Systems & Circuits Neurosciences - A
Projecttitle
Multiscale analysis of visual object recognition in the mouse
Programtype2
Operating Grants
Orgnameinp2
McGill University
Cihramount2
$998,325
Cihrequipment2
$0
Programname2
Project Grant
Keyworddelim
2-Photon Calcium Imaging; Artificial Intelligence; Behavioral Training; Chemogenetics; Cortex; Functional Ultrasound Imaging; Mouse; Visual Neuroscience; Visual Object Recognition
Abstract
Our world is composed of things: trees and buildings, cars and sidewalks, people and pets, desks and pens. One of the most important jobs for our visual system is to parse the world into its building blocks - objects. Indeed, our brain dedicates a large amount of space to visual object recognition. Years of work in humans and non-human primates have identified the 'ventral visual stream' - a set of cortical brain areas extending from primary visual cortex towards the temporal lobe - as a crucial system for enabling visual object recognition. However, the algorithms that the brain uses to enable objects to be recognized in the world remain poorly understood. Fortunately advances over the last years in neuroscience techniques mean it is now increasingly possible to record responses from countless neurons in vivo and manipulate neuronal activity with high spatial and temporal precision all while performing complex behavioral tests. Unfortunately, many of the most cutting-edge approaches are mostly restricted to use in mice, and our understanding of visual object recognition and 'ventral stream' processing is very limited in rodents. As such, here we propose a host of experiments to provide significant insights into visual object processing in the mouse brain, that should open the door for us and others to utilize this powerful animal model system for significantly enhancing our knowledge related to how the brain encodes visual objects.
Competitiondate
202209
Approvedterm2
5 yrs 0 mth
Pinamesdelim
Trenholm, Stuart
Approvedterm
5 ans 0 mois
Cihrcontribution2
~ $998,325~ $0~