Employing virtual reality to reveal individual locusts' decision-making

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SCHELL, Bianca Ricarda, 2020. Employing virtual reality to reveal individual locusts' decision-making [Master thesis]. Konstanz: Universität Konstanz

@mastersthesis{Schell2020Emplo-51450, title={Employing virtual reality to reveal individual locusts' decision-making}, year={2020}, address={Konstanz}, school={Universität Konstanz}, author={Schell, Bianca Ricarda} }

<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/rdf/resource/123456789/51450"> <dcterms:rights rdf:resource="https://rightsstatements.org/page/InC/1.0/"/> <dspace:hasBitstream rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/51450/3/Schell_2-d7hoztrcxjqb1.pdf"/> <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/rdf/resource/123456789/28"/> <bibo:uri rdf:resource="https://kops.uni-konstanz.de/handle/123456789/51450"/> <dcterms:abstract xml:lang="eng">Animals are constantly faced with choices where to feed, move next, or search for night shelter. Appropriate choices maximize survival and reproductive success. Research on decision-making in animals has mainly focused on which choice animals make, rather than on how they choose. In collectives, the mechanism of decision-making has been studied extensively in the last twenty years, yet little is known about the underlying mechanism in the individual's brain. Sridhar et al. (in prep) propose a neuronal model that describes the underlying mechanism of an individual's decision-making process. It predicts animals to average the direction of presented targets, moving in the centroid direction. As the angle between targets increases, the animal bifurcates at a critical angle, and eventually turns towards one of the targets. Multi-choice situations are then broken down to binary choices, successively eliminating choices, and resulting in a multi-bifurcation pattern. Sridhar et al. validate the model experimentally in Drosophila melanogaster, yet with kinematic limitations. Here, I tested the model's spatial and kinematic predictions of decision-making in the desert locust Schistocerca gregaria. In a state-of-the-art virtual reality system, I presented freely walking individual locusts with equally attractive targets. In accord with the model's predictions, locusts made decisions in a (multi-)bifurcation pattern. These cross-species results suggest that the model represents a generic, species-unspecific algorithm, robust across scales and therefore applicable to both individual and collective decision-making.</dcterms:abstract> <foaf:homepage rdf:resource="http://localhost:8080/jspui"/> <dc:contributor>Schell, Bianca Ricarda</dc:contributor> <dcterms:hasPart rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/51450/3/Schell_2-d7hoztrcxjqb1.pdf"/> <dc:language>eng</dc:language> <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/rdf/resource/123456789/28"/> <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/> <dc:rights>terms-of-use</dc:rights> <dcterms:title>Employing virtual reality to reveal individual locusts' decision-making</dcterms:title> <dc:creator>Schell, Bianca Ricarda</dc:creator> <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2020-10-22T12:28:15Z</dcterms:available> <dcterms:issued>2020</dcterms:issued> <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2020-10-22T12:28:15Z</dc:date> </rdf:Description> </rdf:RDF>

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