Projects per year
Personal profile
Research interests
Natural selection has honed the ability of organisms to detect, process and respond to information about the world around them. As a sensory ethologist at heart, I am interested in how the behaviour of animals is shaped by environmental information.
The adaptive camouflage behaviour of shell-less cephalopods (octopus, cuttlefish, squid) is one such behaviour which demands the processing of vast quantities of visual data in order to coordinate the activity of millions of pigmented organs, known as chromatophores, distributed across the skin.
In my PhD, I am adopting a three-pronged approach to understand how the visual environment shapes the camouflage patterns of cuttlefish, in order to inspire and design a wearable textile capable of adaptive camouflage. This approach utilises methods from 1) behavioural biology, 2) soft robotics and 3) mathematical modelling.
External positions
Co-supervised PhD student, School of Biological Sciences
22 Jan 2024 → 21 Jan 2028
Research Groups and Themes
- Brain and Behaviour
- Visual Perception
- Camouflage
- Cephalopods
- Engineering Mathematics Research Group
- Soft Robotics
- Mathematics and Computational Biology
- Bristol Vision Institute
Keywords
- Camouflage
- Cephalopods
- Cuttlefish
- Vision
- Adaptive Camouflage
- Chromatophores
- Soft Robotics
- Computational Biology
- Mathematical Modelling
- Machine Learning
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Projects
- 1 Active
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PhD - Cephalopod-inspired adaptive camouflage
Lunt, W. M. (Principal Investigator)
22/01/24 → 21/01/28
Project: Research
Datasets
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Background complexity code and data
How, M. (Creator) & Lunt, W. (Creator), University of Bristol, 7 Feb 2025
DOI: 10.5523/bris.1bxjeumjxu6qi2x2eu8otv7wt4, http://data.bris.ac.uk/data/dataset/1bxjeumjxu6qi2x2eu8otv7wt4
Dataset