Human facial recognition by archerfish

Newport, Cait (2014): Human facial recognition by archerfish. The University of Queensand. Dataset. doi:10.14264/uql.2014.422

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ArcherfishData.xlsx Archerfish Data Click to show the corresponding preview/stream application/vnd.openxmlf... 64.61KB 20

Project name Pattern recognition in animals and machines: using machine learning to reveal cues central to the identification of individuals
Project description
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. We will investigate this ability in lower vertebrates (fish, with no visual cortex), so as to understand the underlying mechanisms of pattern discrimination. We will also test how robust this ability is during changes in water quality (elevated CO2 levels and increased turbidity). Outcomes will further our knowledge base in lower vertebrate vision and evolution, and also have implications for human vision, image analysis, and artificial vision.
Contact name Cait Newport
Contact email
Creator name Newport, Cait
Creator(s) role Investigator
Dataset name Human facial recognition by archerfish
Dataset description
Using a two-alternative forced-choice procedure, we tested whether four archerfish (Toxotes chatareus) could learn to discriminate human faces.
Access conditions Open Access
ANZSRC Field of Research (FoR) Code 060801 Animal Behaviour
060201 Behavioural Ecology
170112 Sensory Processes, Perception and Performance
DOI 10.14264/uql.2014.422
Grant ID
Type of data Spreadsheet of trial results during behavioural training and testing
Data Volume 65KB
Language eng
Collection type Dataset
Publisher The University of Queensand
Publication Year 2014
Copyright notice 2014, The University of Queensland

Document type: Data Collection
Collections: Research Data Collections
School of Biomedical Sciences Publications
Version Filter Type
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Created: Wed, 12 Nov 2014, 16:35:43 EST by Miss Caitlin Newport