Grant: Canada Research Chairs
York University
$120,000.00
Computational Neuroscience
FY 2021-22
Summary
When you read text, your eyes send signals to your brain, and your brain interprets them to decipher words. Dr. Zylberberg's research identifies the language of this signalling, and the learning mechanisms that shape that language. For example, what patterns of nerve impulses correspond to an ¿a¿ or an ¿e¿, and how does the brain learn to generate and interpret those patterns? By answering these questions, Zylberberg's work may help treat those with vision and learning deficits. By revealing how the brain learns to process visual information, his work also leads to new artificial intelligence systems that mimic that learning.
Program
Canada Research Chairs
Recipient
Location
Ontario, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
CRC-2018-00162
Name nom
Zylberberg, Joel
Department département
Physiology and Biophysics - ?
Organization id
38
Institution établissement
York University
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2021
Competition year année de concours
2018
Award amount
120000
Program id
CRC
Program name en
Canada Research Chairs
Program name fr
Chaires de recherche du Canada
Group en
Discovery grants programs
Group fr
Programmes de subventions à la découverte
Committee code
9998
Committee name en
Canada Research Chair Selection Committee
Committee name fr
Comité de sélection des Chaires de recherche du Canada
Area of application code
9999
Area of application group en
Not available
Area of application group fr
Non disponible
Area of application en
Not available
Area of application fr
Non disponible
Research subject code
5500
Research subject group en
Animal biology
Research subject group fr
Biologie animale
Research subject en
Animal biology
Research subject fr
Biologie animale
Installment
inst:4-1
Partie
1
Nb partie
4
Application title
Computational Neuroscience
Keyword
NSERC
Application summary
When you read text, your eyes send signals to your brain, and your brain interprets them to decipher words. Dr. Zylberberg's research identifies the language of this signalling, and the learning mechanisms that shape that language. For example, what patterns of nerve impulses correspond to an ¿a¿ or an ¿e¿, and how does the brain learn to generate and interpret those patterns? By answering these questions, Zylberberg's work may help treat those with vision and learning deficits. By revealing how the brain learns to process visual information, his work also leads to new artificial intelligence systems that mimic that learning.
