How different is different: highly contrasting colours in animal patterns. Red apples in green trees and blue berries on the ground create very different visual signals to animals. Furthermore, elaborate animal colour patterns have evolved to render them conspicuous or camouflaged against their background. Despite the ecological and evolutionary importance of animal colour patterns, little is known about how larger colour contrasts and complex patterns are perceived by animals. This project aim ....How different is different: highly contrasting colours in animal patterns. Red apples in green trees and blue berries on the ground create very different visual signals to animals. Furthermore, elaborate animal colour patterns have evolved to render them conspicuous or camouflaged against their background. Despite the ecological and evolutionary importance of animal colour patterns, little is known about how larger colour contrasts and complex patterns are perceived by animals. This project aims to fill this knowledge gap specifically it endeavours: to provide useful tools for behavioural ecologists and visual neuroscientists, and to understand for the first time the full gamut of colour signalling in both terrestrial and aquatic environments.Read moreRead less
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 u ....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.Read moreRead less