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[{"key": "dc.contributor.advisor", "value": "Tiihonen, Timo", "language": "", "element": "contributor", "qualifier": "advisor", "schema": "dc"}, {"key": "dc.contributor.author", "value": "Nordlund, Tuomas", "language": "", "element": "contributor", "qualifier": "author", "schema": "dc"}, {"key": "dc.date.accessioned", "value": "2022-12-21T10:33:40Z", "language": null, "element": "date", "qualifier": "accessioned", "schema": "dc"}, {"key": "dc.date.available", "value": "2022-12-21T10:33:40Z", "language": null, "element": "date", "qualifier": "available", "schema": "dc"}, {"key": "dc.date.issued", "value": "2022", "language": "", "element": "date", "qualifier": "issued", "schema": "dc"}, {"key": "dc.identifier.uri", "value": "https://jyx.jyu.fi/handle/123456789/84536", "language": null, "element": "identifier", "qualifier": "uri", "schema": "dc"}, {"key": "dc.description.abstract", "value": "Keinotekoiset neuroverkot ovat tehokkaita laskennallisia ty\u00f6kaluja merkityksellisten piirteiden irroittamiseen suurista datamassoista. Aivokuvantamismenetelmien kehittyess\u00e4 aivoista saadaan yh\u00e4 enemm\u00e4n dataa terveydenhuollon ja tieteellisen tutkimuksen tarpeisiin. N\u00e4iden datam\u00e4\u00e4rien k\u00e4sittely manuaalisesti vaatii kuitenkin suuria inhimillisi\u00e4 ponnisteluja. Siit\u00e4 huolimatta kaikkea sit\u00e4 tietoa, joka voisi olla hy\u00f6dyllist\u00e4 tai tarpeellista, ei siltik\u00e4\u00e4n saada irti, eik\u00e4 sit\u00e4 v\u00e4ltt\u00e4m\u00e4tt\u00e4 edes osata etsi\u00e4. Neuroverkkoja kehitet\u00e4\u00e4n jatkuvasti vastaamaan n\u00e4ihin kasvaviin haasteisiin, ja tutkimusten perusteella ne soveltuvat hyvin moniulotteisen aivokuvantamisdatan k\u00e4sittelyyn. Neuroverkot pystyv\u00e4t oppimaan monien eri sairauksien piirteit\u00e4 aivoista tallennetuista signaaleista. Neuroverkot voidaan opettaa tunnistamaan terveiden aivojen eri tiloja esimerkiksi teht\u00e4vien ja koettujen tunteiden aikana. Neuroverkkoja voidaan my\u00f6s hy\u00f6dynt\u00e4\u00e4 aivok\u00e4ytt\u00f6liittym\u00e4sovelluksissa, jossa ne tulkitsevat nopeasti EEG-datasta k\u00e4ytt\u00e4j\u00e4n antaman k\u00e4skyn.", "language": "fi", "element": "description", "qualifier": "abstract", "schema": "dc"}, {"key": "dc.description.abstract", "value": "Artificial neural networks are powerful computational tools for extracting meaningful features from big datasets. As brain imaging techniques develop further, more and more data is being gathered from the brain to meet the needs of healthcare and scientific research. Processing all of this data manually requires great human effort. Nevertheless, all of the information which could be useful or important cannot be extracted, and some of it we do not even know to search. Neural networks are being constantly developed to meet these increasing demands, and based on research they are well suited for the processing of multidimensional brain imaging data. Neural networks are able to learn the features of many different disorders from the signals recorded from the brain. Neural networks can also be taught to recognize different states of a healthy brain, for example during tasks or experienced emotions. Neural networks can also be applied in brain-computer interface applications, where they rapidly interpret the commands of the user from EEG data.", "language": "en", "element": "description", "qualifier": "abstract", "schema": "dc"}, {"key": "dc.description.provenance", "value": "Submitted by Miia Hakanen (mihakane@jyu.fi) on 2022-12-21T10:33:39Z\nNo. of bitstreams: 0", "language": "en", "element": "description", "qualifier": "provenance", "schema": "dc"}, {"key": "dc.description.provenance", "value": "Made available in DSpace on 2022-12-21T10:33:40Z (GMT). No. of bitstreams: 0\n Previous issue date: 2022", "language": "en", "element": "description", "qualifier": "provenance", "schema": "dc"}, {"key": "dc.format.extent", "value": "34", "language": "", "element": "format", "qualifier": "extent", "schema": "dc"}, {"key": "dc.language.iso", "value": "fin", "language": null, "element": "language", "qualifier": "iso", "schema": "dc"}, {"key": "dc.rights", "value": "In Copyright", "language": "en", "element": "rights", "qualifier": null, "schema": "dc"}, {"key": "dc.subject.other", "value": "keinotekoinen neuroverkko", "language": "", "element": "subject", "qualifier": "other", "schema": "dc"}, {"key": "dc.subject.other", "value": "aivokuvantaminen", "language": "", "element": "subject", "qualifier": "other", "schema": "dc"}, {"key": "dc.subject.other", "value": "neuroni", "language": "", "element": "subject", "qualifier": "other", "schema": "dc"}, {"key": "dc.subject.other", "value": "aivos\u00e4hk\u00f6k\u00e4yr\u00e4", "language": "", "element": "subject", "qualifier": "other", "schema": "dc"}, {"key": "dc.subject.other", "value": "konvoluutioverkko", "language": "", "element": "subject", "qualifier": "other", "schema": "dc"}, {"key": "dc.title", "value": "Neuroverkkoihin pohjautuvat koneoppimismallit aivokuvantamismenetelmien tukena", "language": "", "element": "title", "qualifier": null, "schema": "dc"}, {"key": "dc.type", "value": "bachelor thesis", "language": null, "element": "type", "qualifier": null, "schema": "dc"}, {"key": "dc.identifier.urn", "value": "URN:NBN:fi:jyu-202212215782", "language": "", "element": "identifier", "qualifier": "urn", "schema": "dc"}, {"key": "dc.type.ontasot", "value": "Bachelor's thesis", "language": "en", "element": "type", "qualifier": "ontasot", "schema": "dc"}, {"key": "dc.type.ontasot", "value": "Kandidaatinty\u00f6", "language": "fi", "element": "type", "qualifier": "ontasot", "schema": "dc"}, {"key": "dc.contributor.faculty", "value": "Informaatioteknologian tiedekunta", "language": "fi", "element": "contributor", "qualifier": "faculty", "schema": "dc"}, {"key": "dc.contributor.faculty", "value": "Faculty of Information Technology", "language": "en", "element": "contributor", "qualifier": "faculty", "schema": "dc"}, {"key": "dc.contributor.department", "value": "Informaatioteknologia", "language": "fi", "element": "contributor", "qualifier": "department", "schema": "dc"}, {"key": "dc.contributor.department", "value": "Information Technology", "language": "en", "element": "contributor", "qualifier": "department", "schema": "dc"}, {"key": "dc.contributor.organization", "value": "Jyv\u00e4skyl\u00e4n yliopisto", "language": "fi", "element": "contributor", "qualifier": "organization", "schema": "dc"}, {"key": "dc.contributor.organization", "value": "University of Jyv\u00e4skyl\u00e4", "language": "en", "element": "contributor", "qualifier": "organization", "schema": "dc"}, {"key": "dc.subject.discipline", "value": "Tietotekniikka", "language": "fi", "element": "subject", "qualifier": "discipline", "schema": "dc"}, {"key": "dc.subject.discipline", "value": "Mathematical Information Technology", "language": "en", "element": "subject", "qualifier": "discipline", "schema": "dc"}, {"key": "yvv.contractresearch.funding", "value": "0", "language": "", "element": "contractresearch", "qualifier": "funding", "schema": "yvv"}, {"key": "dc.type.coar", "value": "http://purl.org/coar/resource_type/c_7a1f", "language": null, "element": "type", "qualifier": "coar", "schema": "dc"}, {"key": "dc.rights.accesslevel", "value": "openAccess", "language": null, "element": "rights", "qualifier": "accesslevel", "schema": "dc"}, {"key": "dc.type.publication", "value": "bachelorThesis", "language": null, "element": "type", "qualifier": "publication", "schema": "dc"}, {"key": "dc.subject.oppiainekoodi", "value": "602", "language": "", "element": "subject", "qualifier": "oppiainekoodi", "schema": "dc"}, {"key": "dc.subject.yso", "value": "hermosolut", "language": null, "element": "subject", "qualifier": "yso", "schema": "dc"}, {"key": "dc.subject.yso", "value": "syv\u00e4oppiminen", "language": null, "element": "subject", "qualifier": "yso", "schema": "dc"}, {"key": "dc.subject.yso", "value": "neuroverkot", "language": null, "element": "subject", "qualifier": "yso", "schema": "dc"}, {"key": "dc.subject.yso", "value": "aivot", "language": null, "element": "subject", "qualifier": "yso", "schema": "dc"}, {"key": "dc.subject.yso", "value": "magneettikuvaus", "language": null, "element": "subject", "qualifier": "yso", "schema": "dc"}, {"key": "dc.subject.yso", "value": "koneoppiminen", "language": null, "element": "subject", "qualifier": "yso", "schema": "dc"}, {"key": "dc.subject.yso", "value": "EEG", "language": null, "element": "subject", "qualifier": "yso", "schema": "dc"}, {"key": "dc.rights.url", "value": "https://rightsstatements.org/page/InC/1.0/", "language": null, "element": "rights", "qualifier": "url", "schema": "dc"}]
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