This project will build on recent work in our lab using a genetic algorithm (GA) to determine spatiotemporal receptive fields for translating visual motion. Pilot work shows the the GA provides a fast and efficient means of computing templates of receptive fields using the 'classification images' approach. This provides a fast way to study visual receptive fields underlying motion perception. We will extend this to include auditory and audio-visual motion. This approach will be paired with cross-adaptation experiments designed to show common processing underlies visual and auditory motion perception.
The project requires a student with good computational and programming skills, and ideally a grasp of the classification images method. The approach is psychophysical: on human observers we will compute psychophysical receptive fields for auditory, visual and audio-visual motion. We will also use classical cross-adaptation methods to show that visual and auditory motion mutually adapt each other. Finally, we will use transcranial magnetic stimulation (TMS) to establish if we can disrupt processing of auditory motion and visual motion at a single stimulation location.
Some knowledge of signal processing and analysis in the frequency domain would be an advantage. International students are welcome. Funding may be available to an outstanding applicant from the supervisor's research funds.
HDR Inherent Requirements
In addition to the academic requirements set out in the Science Postgraduate Handbook, you may be required to satisfy a number of inherent requirements to complete this degree. Example of inherent requirement may include:
The opportunity ID for this research opportunity is 2684