Rotation 1: Robust and efficient spiking computations
Lead Research Organisation:
University of Cambridge
Department Name: School of Biological Sciences
Abstract
BBSRC strategic theme: Understanding the rules of life
Circuits of quadratic integrate-and-fire (QIF) neuron models are known to mimic the PING model of hippocampal gamma oscillations under certain choices of parameters. Conversely, circuits of more abstract binary units can be designed to perform useful computations, but lack physiological relevance. This project will explore the use of a teacher/student training paradigm to transfer task performance from the abstract (teacher) to the physiological (student) model, while maintaining a biologically plausible range of QIF parameters. The success of the project can be assessed by measuring task performance in the QIF circuit, and by comparing the QIF neuron parameters to known parameters of gamma-participant neurons in-vivo.
Circuits of quadratic integrate-and-fire (QIF) neuron models are known to mimic the PING model of hippocampal gamma oscillations under certain choices of parameters. Conversely, circuits of more abstract binary units can be designed to perform useful computations, but lack physiological relevance. This project will explore the use of a teacher/student training paradigm to transfer task performance from the abstract (teacher) to the physiological (student) model, while maintaining a biologically plausible range of QIF parameters. The success of the project can be assessed by measuring task performance in the QIF circuit, and by comparing the QIF neuron parameters to known parameters of gamma-participant neurons in-vivo.
Organisations
People |
ORCID iD |
| Ruairidh Byrne (Student) |
Studentship Projects
| Project Reference | Relationship | Related To | Start | End | Student Name |
|---|---|---|---|---|---|
| BB/X010899/1 | 01/10/2023 | 30/09/2028 | |||
| 2888219 | Studentship | BB/X010899/1 | 01/10/2023 | 30/09/2027 | Ruairidh Byrne |