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Grant: Discovery Grants Program - Individual

Université d'Ottawa

$40,000.00

Quantifying stimulus-evoked activity patterns in a recurrent neural network

EF 2024-25

Résumé
The highest level of the brain of all mammals is the cortex and the human cortex is vastly larger than that of other mammals, including those of the great apes. Cortex is composed of billions of "neurons", cells specialized for processing external sensory input such as vision and sound and controlling muscles for directed movements. The cortex is also responsible for learning and memory. There are literally hundreds of different types of neurons in cortex. Cortical neurons are organized in a very complicated manner and different neurons are organized into layers. Each layer contains many different types of neurons. Cortical neurons are strongly interconnected to form a "recurrent network" but how this network operates has proven too difficult to analyze. As a result, we have minimal understanding of how cortex works to enable our high-level cognitive abilities - thinking, remembering, planning and deciding; this means that we have minimal understanding of how to treat neurologic or psychiatric disorders affecting thought, decision making and memory. Our research tries to figure out how a similar but much simpler structure can support the apparently simple ability to visually discriminate objects and remember the location of food and home. The structure is the pallium- the highest level of the fish brain. Like cortex, pallium contains highly interconnected neurons, i.e., it is a simple recurrent network. However, unlike cortex, pallium is tiny and contains only one type of simple neuron. With such a simple pallium, fish can only recognize simple shapes and have a memory for food location extending only days rather than years. My research aims at understanding the fundamental properties of the recurrent network of fish pallium and how they can, for example, discriminate between the simplest shapes - vertical versus horizontal stripes. We will use experimental tools to understand how individual neurons work and how they interact as the fish recognizes a stimulus. This will at least give clues as to how the vastly more complicated human cortex works and therefore give clues as to how to treat disorders of cortical function. We use zebrafish for our studies because their brain development is well understood and has many similarities with the development of mammalian brains. Our result will therefore be entirely applicable to our understanding of human brains. We use juvenile (3-4 weeks old) male and female zebrafish in our studies and there are no discernable sex differences in these non-breeding fish. Future work will, however, use breeding fish. We are specifically interested in whether the fish's sex will affect how its pallium operates during visual discrimination tasks.
Programme
Discovery Grants Program - Individual
Bénéficiaire
Emplacement
Ontario, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data

Tel que publié

Application id
RGPIN-2024-04170
Name nom
Maler, Leonard
Department département
Cellular and Molecular Medicine
Organization id
28
Institution établissement
Université d'Ottawa
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2024
Competition year année de concours
2024
Award amount
40000
Program id
RGPIN
Program name en
Discovery Grants Program - Individual
Program name fr
Programme de subventions à la découverte - individuelles
Group en
DISCOVERY RESEARCH
Group fr
RECHERCHE AXÉE SUR LA DÉCOUVERTE
Committee code
1502
Committee name en
Biological Systems and Functions
Committee name fr
Systèmes et fonctions biologiques
Area of application code
1102
Area of application group en
Health, education and social services
Area of application group fr
Santé publique, éducation et services sociaux
Area of application en
Biomedical engineering
Area of application fr
Génie biomédical
Research subject code
5501
Research subject group en
Animal biology
Research subject group fr
Biologie animale
Research subject en
Neurophysiology
Research subject fr
Neurophysiologie
Field of research list names en
Not available
Field of research list names fr
Non disponible
Socioeconomic objective list names en
Not available
Socioeconomic objective list names fr
Non disponible
Application title
Quantifying stimulus-evoked activity patterns in a recurrent neural network
Keywords
recurrent neural network; dynamic threshold; zebrafish; pallium; spatial memory; motor control; tectum; visual system; cortex; visual discrimination
Application summary
The highest level of the brain of all mammals is the cortex and the human cortex is vastly larger than that of other mammals, including those of the great apes. Cortex is composed of billions of "neurons", cells specialized for processing external sensory input such as vision and sound and controlling muscles for directed movements. The cortex is also responsible for learning and memory. There are literally hundreds of different types of neurons in cortex. Cortical neurons are organized in a very complicated manner and different neurons are organized into layers. Each layer contains many different types of neurons. Cortical neurons are strongly interconnected to form a "recurrent network" but how this network operates has proven too difficult to analyze. As a result, we have minimal understanding of how cortex works to enable our high-level cognitive abilities - thinking, remembering, planning and deciding; this means that we have minimal understanding of how to treat neurologic or psychiatric disorders affecting thought, decision making and memory. Our research tries to figure out how a similar but much simpler structure can support the apparently simple ability to visually discriminate objects and remember the location of food and home. The structure is the pallium- the highest level of the fish brain. Like cortex, pallium contains highly interconnected neurons, i.e., it is a simple recurrent network. However, unlike cortex, pallium is tiny and contains only one type of simple neuron. With such a simple pallium, fish can only recognize simple shapes and have a memory for food location extending only days rather than years. My research aims at understanding the fundamental properties of the recurrent network of fish pallium and how they can, for example, discriminate between the simplest shapes - vertical versus horizontal stripes. We will use experimental tools to understand how individual neurons work and how they interact as the fish recognizes a stimulus. This will at least give clues as to how the vastly more complicated human cortex works and therefore give clues as to how to treat disorders of cortical function. We use zebrafish for our studies because their brain development is well understood and has many similarities with the development of mammalian brains. Our result will therefore be entirely applicable to our understanding of human brains. We use juvenile (3-4 weeks old) male and female zebrafish in our studies and there are no discernable sex differences in these non-breeding fish. Future work will, however, use breeding fish. We are specifically interested in whether the fish's sex will affect how its pallium operates during visual discrimination tasks.