The University of Southampton
University of Southampton Institutional Repository

'Proto-rivalry': how the binocular brain identifies gloss

'Proto-rivalry': how the binocular brain identifies gloss
'Proto-rivalry': how the binocular brain identifies gloss
Dataset relative to the following publication: Muryy, A. A., Fleming, R. W., & Welchman, A. E. (2016). ‘Proto-rivalry’: how the binocular brain identifies gloss. Proceedings of the Royal Society B, 283(1830): 20160383. Each folder contains *.mat files with the data relative to the respective experiment(s) and a matlab script for loading and plotting the data. The matlab scripts also include comments regarding the data files.
Zenodo
Welchman, Andrew E.
c6db0722-5a74-4576-ad12-d3dec4814c59
Fleming, Roland W.
f9a60356-03e6-4931-a332-f3a7aa9f9915
Muryy, Alexander A.
8cd522df-4091-4d3e-b8dc-3bce41e1cb83
Welchman, Andrew E.
c6db0722-5a74-4576-ad12-d3dec4814c59
Fleming, Roland W.
f9a60356-03e6-4931-a332-f3a7aa9f9915
Muryy, Alexander A.
8cd522df-4091-4d3e-b8dc-3bce41e1cb83

(2017) 'Proto-rivalry': how the binocular brain identifies gloss. Zenodo doi:10.5281/zenodo.574259 [Dataset]

Record type: Dataset

Abstract

Dataset relative to the following publication: Muryy, A. A., Fleming, R. W., & Welchman, A. E. (2016). ‘Proto-rivalry’: how the binocular brain identifies gloss. Proceedings of the Royal Society B, 283(1830): 20160383. Each folder contains *.mat files with the data relative to the respective experiment(s) and a matlab script for loading and plotting the data. The matlab scripts also include comments regarding the data files.

This record has no associated files available for download.

More information

Published date: 11 May 2017

Identifiers

Local EPrints ID: 475472
URI: http://eprints.soton.ac.uk/id/eprint/475472
PURE UUID: 91adca15-967c-430d-9ab4-f2b99dd57baf

Catalogue record

Date deposited: 20 Mar 2023 17:40
Last modified: 05 May 2023 20:22

Export record

Altmetrics

Contributors

Contributor: Andrew E. Welchman
Contributor: Roland W. Fleming
Contributor: Alexander A. Muryy

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×