31st December 2020*
Applicants should contact the primary supervisor, and submit their Expression of Interest (EOI) and Application as soon as possible.
*unless filled earlier
The innovation of artificial intelligence and cognitive science aims to explore and simulate the complex and powerful information processing mechanism of the human brain and promote machines to a higher intelligence level as human brains. Visual neural calculation aims to "do what the brain does", the central idea of which is to explore the mysteries of the human visual system. It is a complex interdisciplinary problem to establish an appropriate neural computing model and simulate the visual information processing mechanism in the human brain so as to better extract feature information.
With the continuous development of brain cognitive science, there have been more opportunities for visual neural calculation. Its development direction is to investigate the knowledge learnt in the visual domain by popular pre-trained vision models (CNN-based framework) and use it to teach a recurrent model being trained on brain (EEG) signals to learn a discriminative manifold of the human brain's cognition of different visual object categories in response to perceived visual cues.
See the following web page for entry requirements: www.utas.edu.au/research/degrees/what-is-a-research-degree
Applicants who require more information or are interested in this specific project should first contact the listed Supervisor. Information and guidance on the application process can be found on the Apply Now website.
Information about scholarships is available on the Scholarships webpage.
Please contact, Zehong Cao for further information.