Professor Nicholas E Scott-Samuel

B.A.(Bristol), MSc, Ph.D.(Birm.)

Professor of Experimental Psychology, School of Psychological Science
Bristol Vision Institute
Bristol Neuroscience

https://orcid.org/0000-0002-8270-8437

EmailN.E.Scott-Samuel@bristol.ac.uk

BS8 1TU

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Personal profile

Research interests

My research was initially concerned with the visual perception of motion by humans, but I’ve become sidetracked over time by various other things, including the perception of food and drink, camouflage, visual search and the estimation of numerosity.

For more on my camouflage research, please go to www.camolab.com

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2 Active
4 Finished

Motion illusions for defence
Scott-Samuel, N. E.
1/12/20 → 30/11/23
Project: Research
Concealing 3D objects
Cuthill, I. C., Scott-Samuel, N. E., Baddeley, R. J., Talas, L. & Fennell, J. G.
8/06/19 → 7/06/22
Project: Research
Creating a Personalised Museum Experience with Deep Learning
Stevanov, J., Talas, L., Leonards, U. B. & Scott-Samuel, N. E.
17/06/19 → 31/01/20
Project: Research

67 Article (Academic Journal)
9 Conference Abstract
5 Conference Contribution (Conference Proceeding)
1 Comment/debate (Academic Journal)
More
- 1 Other contribution
- 1 Working paper and Preprints

The Camouflage Machine: Optimizing protective coloration using deep learning with genetic algorithms
Fennell, J. G., Tálas, L., Baddeley, R. J., Cuthill, I. C. & Scott-Samuel, N. E., 18 Jan 2021, In: Evolution. 75, 3, p. 614-624 11 p.
Research output: Contribution to journal › Article (Academic Journal) › peer-review

Open Access
File
27 Downloads (Pure)
A platform for initial testing of multiple camouflage patterns
Hall, J. R., Matthews, O. E. C., Volonakis, T. N., Liggins, E., Lymer, K. P., Baddeley, R. J., Cuthill, I. C. & Scott-Samuel, N. E., 13 Nov 2020, In: Defence Technology.
Research output: Contribution to journal › Article (Academic Journal) › peer-review
CamoGAN: Evolving optimum camouflage with Generative Adversarial Networks
Talas, L., Fennell, J., Kjernsmo, K., Cuthill, I., Scott-Samuel, N. & Baddeley, R., 1 Feb 2020, In: Methods in Ecology and Evolution. 11, 2, p. 240-247 8 p.
Research output: Contribution to journal › Article (Academic Journal) › peer-review

Open Access
File
485 Downloads (Pure)

Data associated with Scott-Samuel et al. “Dazzle: surface patterns that impede interception”
Cuthill, I. C. (Creator), Scott-Samuel, N. E. (Contributor) & Caro, T. M. (Contributor), University of Bristol, 25 Jan 2021
DOI: 10.5523/bris.1t0o5h87r5pxs2u16e3sy2ihkb, http://data.bris.ac.uk/data/dataset/1t0o5h87r5pxs2u16e3sy2ihkb
Dataset
Data from: Overcoming the detectability costs of symmetrical colouration
Wainwright, B. (Contributor), Scott-Samuel, N. E. (Contributor) & Cuthill, I. C. (Contributor), Dryad, 18 May 2020
DOI: 10.5061/dryad.jm63xsj6b, http://datadryad.org/stash/dataset/doi:10.5061/dryad.jm63xsj6b
Dataset
The Camouflage Machine: Optimising protective colouration using deep learning with genetic algorithms
Fennell, J. G. (Contributor), Talas, L. (Contributor), Baddeley, R. J. (Contributor), Cuthill, I. C. (Contributor) & Scott-Samuel, N. E. (Contributor), Dryad, 30 Dec 2020
DOI: 10.5061/dryad.31zcrjdjv, http://datadryad.org/stash/dataset/doi:10.5061/dryad.31zcrjdjv
Dataset