Grant: Discovery Grants Program - Individual
Université de Moncton
$29,000.00
Dynamics of active sensing movements and sensory processing
EF 2022-23
Résumé
Animals sometimes perceive the world through senses that appear foreign to us. This is particularly true of electric fish, a type of small fish living in South America and West Africa that can produce and detect electric fields. Through electroreceptors distributed on their skin, they measure perturbations of their self-generated electric field. Using such electrosensory information, they can detect objects, navigate and communicate. This proposal focuses on various aspects of this electric sense, from the scale of single neurons to that of behaviour. My aims are to 1) build a computational model able to capture the particular form of voltage noise observed in pyramidal neurons of the primary electrosensory processing area, and 2) to analyze and model rhythmic electromotor behaviours of freely behaving fish. These problems involve notions of nonlinear and stochastic dynamical systems, and require the application of computational tools, such as computer-simulated neuronal models. all topics that lie within my area of expertise. While this work is of theoretical nature, it will make use of available experimental data in order to ensure that the proposed models are empirically grounded. The synergy between theoretical and experimental approaches has been long recognized as a valuable approach in neuroscience and biology, and this proposal fits right into this framework. Overall, this work will contribute to improve our general understanding of sensory information processing, neuronal excitability, active sensing, and attention. In addition to fundamental advances in terms of knowledge, the results emerging from this work could also lead to novel biomedical engineering technologies (such as cochlear implants) and to improved diagnostic or treatment tools for conditions such as attention deficit disorder.
Programme
Discovery Grants Program - Individual
Bénéficiaire
Emplacement
New Brunswick, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
RGPIN-2022-05314
Name nom
Melanson, Alexandre
Department département
Physique et d'astronomie - Physique et d'astronomie
Organization id
73
Institution établissement
Université de Moncton
Province en
New Brunswick
Province fr
Nouveau-Brunswick
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2022
Competition year année de concours
2022
Award amount
29000
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
405
Area of application group en
Environment
Area of application group fr
Environnement
Area of application en
Modelling and mathematical simulation of natural processes
Area of application fr
Modélisation et simulation mathématique des processus naturels
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:1
Partie
1
Nb partie
5
Application title
Dynamics of active sensing movements and sensory processing
Application summary
Animals sometimes perceive the world through senses that appear foreign to us. This is particularly true of electric fish, a type of small fish living in South America and West Africa that can produce and detect electric fields. Through electroreceptors distributed on their skin, they measure perturbations of their self-generated electric field. Using such electrosensory information, they can detect objects, navigate and communicate. This proposal focuses on various aspects of this electric sense, from the scale of single neurons to that of behaviour. My aims are to 1) build a computational model able to capture the particular form of voltage noise observed in pyramidal neurons of the primary electrosensory processing area, and 2) to analyze and model rhythmic electromotor behaviours of freely behaving fish. These problems involve notions of nonlinear and stochastic dynamical systems, and require the application of computational tools, such as computer-simulated neuronal models. all topics that lie within my area of expertise. While this work is of theoretical nature, it will make use of available experimental data in order to ensure that the proposed models are empirically grounded. The synergy between theoretical and experimental approaches has been long recognized as a valuable approach in neuroscience and biology, and this proposal fits right into this framework. Overall, this work will contribute to improve our general understanding of sensory information processing, neuronal excitability, active sensing, and attention. In addition to fundamental advances in terms of knowledge, the results emerging from this work could also lead to novel biomedical engineering technologies (such as cochlear implants) and to improved diagnostic or treatment tools for conditions such as attention deficit disorder.