Website
http://dataportal.arc.gov.au/NCGP/API/grants/DP140100431
Funding Status
Closed
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Funded Activity Summary
Pattern recognition in animals and machines: using machine learning to reveal cues central to the identification of individuals. The power to recognise individuals of a species requires significant image and pattern discrimination abilities. Yet, individual recognition has been found in a huge range of species, from humans to invertebrates demonstrating its importance for social interactions. The project will investigate this ability in lower vertebrates (fish, with no visual cortex), so as to understand the underlying mechanisms of pattern discrimination. The project will also test how robust this ability is during changes in water quality (elevated carbon dioxide levels and increased turbidity). The outcomes will further our knowledge base in lower vertebrate vision and evolution, and also have implications for human vision, image analysis, and artificial vision.Funded Activity Details
Start Date: 2014
End Date: 12-2017
Funding Scheme: Discovery Projects
Funding Amount: $360,000.00
Funder: Australian Research Council
Research Topics
ANZSRC Field of Research (FoR)
Sensory Processes, Perception and Performance | Psychology | Behavioural Ecology |
ANZSRC Socio-Economic Objective (SEO)
Expanding Knowledge in the Biological Sciences | Expanding Knowledge in Psychology and Cognitive Sciences | Expanding Knowledge in Technology
