Systematic Analysis of Pigeons' Discrimination of Pixelated Stimuli : A Hierarchical Pattern Recognition System Is Not Identifiable
Systematic Analysis of Pigeons' Discrimination of Pixelated Stimuli : A Hierarchical Pattern Recognition System Is Not Identifiable
Loading...
Date
2019
Authors
Delius, Julia A. M.
Editors
Journal ISSN
Electronic ISSN
ISBN
Bibliographical data
Publisher
Series
URI (citable link)
DOI (citable link)
International patent number
Link to the license
EU project number
Project
Open Access publication
Collections
Title in another language
Publication type
Journal article
Publication status
Published
Published in
Scientific Reports ; 9 (2019), 1. - 13929. - eISSN 2045-2322
Abstract
Pigeons learned to discriminate two different patterns displayed with miniature light-emitting diode arrays. They were then tested with 84 interspersed, non-reinforced degraded pattern pairs. Choices ranged between 100% and 50% for one or other of the patterns. Stimuli consisting of few pixels yielded low choice scores whereas those consisting of many pixels yielded a broad range of scores. Those patterns with a high number of pixels coinciding with those of the rewarded training stimulus were preferred and those with a high number of pixels coinciding with the non-rewarded training pattern were avoided; a discrimination index based on this correlated 0.74 with the pattern choices. Pixels common to both training patterns had a minimal influence. A pixel-by-pixel analysis revealed that eight pixels of one pattern and six pixels of the other pattern played a prominent role in the pigeons' choices. These pixels were disposed in four and two clusters of neighbouring locations. A summary index calculated on this basis still only yielded a weak 0.73 correlation. The individual pigeons' data furthermore showed that these clusters were a mere averaging mirage. The pigeons' performance depends on deep learning in a midbrain-based multimillion synapse neuronal network. Pixelated visual patterns should be helpful when simulating perception of patterns with artificial networks.
Summary in another language
Subject (DDC)
570 Biosciences, Biology
Keywords
Conference
Review
undefined / . - undefined, undefined. - (undefined; undefined)
Cite This
ISO 690
DELIUS, Juan, Julia A. M. DELIUS, 2019. Systematic Analysis of Pigeons' Discrimination of Pixelated Stimuli : A Hierarchical Pattern Recognition System Is Not Identifiable. In: Scientific Reports. 9(1), 13929. eISSN 2045-2322. Available under: doi: 10.1038/s41598-019-50212-1BibTex
@article{Delius2019-09-26Syste-47095, year={2019}, doi={10.1038/s41598-019-50212-1}, title={Systematic Analysis of Pigeons' Discrimination of Pixelated Stimuli : A Hierarchical Pattern Recognition System Is Not Identifiable}, number={1}, volume={9}, journal={Scientific Reports}, author={Delius, Juan and Delius, Julia A. M.}, note={Preprint of paper published in 2019 in Scientific Reports ; Link to published version in KOPS: http://nbn-resolving.de/urn:nbn:de:bsz:352-2-1o5lh5bt6fh8q7 Article Number: 13929} }
RDF
<rdf:RDF xmlns:dcterms="http://purl.org/dc/terms/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:bibo="http://purl.org/ontology/bibo/" xmlns:dspace="http://digital-repositories.org/ontologies/dspace/0.1.0#" xmlns:foaf="http://xmlns.com/foaf/0.1/" xmlns:void="http://rdfs.org/ns/void#" xmlns:xsd="http://www.w3.org/2001/XMLSchema#" > <rdf:Description rdf:about="https://kops.uni-konstanz.de/server/rdf/resource/123456789/47095"> <dcterms:issued>2019-09-26</dcterms:issued> <dc:creator>Delius, Julia A. M.</dc:creator> <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2019-10-01T12:15:06Z</dc:date> <dcterms:hasPart rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/47095/1/Delius_2-bdpkbl6m96nj3.pdf"/> <dc:creator>Delius, Juan</dc:creator> <dc:contributor>Delius, Juan</dc:contributor> <bibo:uri rdf:resource="https://kops.uni-konstanz.de/handle/123456789/47095"/> <dcterms:abstract xml:lang="eng">Pigeons learned to discriminate two different patterns displayed with miniature light-emitting diode arrays. They were then tested with 84 interspersed, non-reinforced degraded pattern pairs. Choices ranged between 100% and 50% for one or other of the patterns. Stimuli consisting of few pixels yielded low choice scores whereas those consisting of many pixels yielded a broad range of scores. Those patterns with a high number of pixels coinciding with those of the rewarded training stimulus were preferred and those with a high number of pixels coinciding with the non-rewarded training pattern were avoided; a discrimination index based on this correlated 0.74 with the pattern choices. Pixels common to both training patterns had a minimal influence. A pixel-by-pixel analysis revealed that eight pixels of one pattern and six pixels of the other pattern played a prominent role in the pigeons' choices. These pixels were disposed in four and two clusters of neighbouring locations. A summary index calculated on this basis still only yielded a weak 0.73 correlation. The individual pigeons' data furthermore showed that these clusters were a mere averaging mirage. The pigeons' performance depends on deep learning in a midbrain-based multimillion synapse neuronal network. Pixelated visual patterns should be helpful when simulating perception of patterns with artificial networks.</dcterms:abstract> <foaf:homepage rdf:resource="http://localhost:8080/"/> <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/43"/> <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/43"/> <dspace:hasBitstream rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/47095/1/Delius_2-bdpkbl6m96nj3.pdf"/> <dc:contributor>Delius, Julia A. M.</dc:contributor> <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/> <dc:rights>Attribution 4.0 International</dc:rights> <dc:language>eng</dc:language> <dcterms:rights rdf:resource="http://creativecommons.org/licenses/by/4.0/"/> <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2019-10-01T12:15:06Z</dcterms:available> <dcterms:title>Systematic Analysis of Pigeons' Discrimination of Pixelated Stimuli : A Hierarchical Pattern Recognition System Is Not Identifiable</dcterms:title> </rdf:Description> </rdf:RDF>
Internal note
xmlui.Submission.submit.DescribeStep.inputForms.label.kops_note_fromSubmitter
Examination date of dissertation
Method of financing
Comment on publication
Preprint of paper published in 2019 in Scientific Reports ; Link to published version in KOPS: http://nbn-resolving.de/urn:nbn:de:bsz:352-2-1o5lh5bt6fh8q7
Alliance license
Corresponding Authors der Uni Konstanz vorhanden
International Co-Authors
Bibliography of Konstanz
Yes
Refereed
Yes