The purpose of this interdisciplinary study was to examine the behavior of two artificial neural networks cross-wired based on the synesthesia cross-wiring hypothesis. Motivation for the study was derived from the study of psychology, robotics, and artificial neural networks, with perceivable application in the domain of mobile autonomous robotics where sensor fusion is a current research topic. This model of synesthetic sensor fusion does not exhibit synesthetic responses. However, it was observed that cross-wiring two independent networks does not change the functionality of the individual networks, but allows the inputs to one network to partially determine the outputs of the other network in some cases. Specifically, there are measurable influences of network A on network B, and yet network B retains its ability to respond independently.
","abstract_html":"<p>The purpose of this interdisciplinary study was to examine the behavior of two artificial neural networks cross-wired based on the synesthesia cross-wiring hypothesis. Motivation for the study was derived from the study of psychology, robotics, and artificial neural networks, with perceivable application in the domain of mobile autonomous robotics where sensor fusion is a current research topic. This model of synesthetic sensor fusion does not exhibit synesthetic responses. However, it was observed that cross-wiring two independent networks does not change the functionality of the individual networks, but allows the inputs to one network to partially determine the outputs of the other network in some cases. Specifically, there are measurable influences of network A on network B, and yet network B retains its ability to respond independently.</p>","abstract_has_math":false,"creators":["Seneker, Stephen Samuel"],"institution":null,"degree_name":"MALS (Master of Arts in Liberal Studies)","degree_level":"Thesis - unrestricted","degree_discipline":"Liberal Studies","degree_department":null,"school":null,"contributors":[],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2002,"date_issued":"2002-05-04T07:00:00Z","date_published":"2002-05-04T07:00:00Z","updated_at":"2026-07-24T02:19:07Z","subjects":["Neural Networks","Robotics","Sensor Fusion","Synesthesia","Education","Liberal Studies"],"languages":[],"rights":["Copyright by the authors."],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://dc.etsu.edu/etd/673","outbound_label":"Repository record","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:creator","label":"Author","values":["Seneker, Stephen Samuel"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.issued","label":"Date","values":["2002-05-04T07:00:00Z"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Liberal Studies"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Thesis - unrestricted"]},{"key":"thesis:degree_name","label":"Degree Name","values":["MALS (Master of Arts in Liberal Studies)"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Neural Networks","Robotics","Sensor Fusion","Synesthesia","Education","Liberal Studies"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:rights","label":"Dc Rights","values":["Copyright by the authors."]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://dc.etsu.edu/context/etd/article/1830/viewcontent/SenekerS041902.pdf","https://dc.etsu.edu/etd/673"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["The purpose of this interdisciplinary study was to examine the behavior of two artificial neural networks cross-wired based on the synesthesia cross-wiring hypothesis. Motivation for the study was derived from the study of psychology, robotics, and artificial neural networks, with perceivable application in the domain of mobile autonomous robotics where sensor fusion is a current research topic. This model of synesthetic sensor fusion does not exhibit synesthetic responses. However, it was observed that cross-wiring two independent networks does not change the functionality of the individual networks, but allows the inputs to one network to partially determine the outputs of the other network in some cases. Specifically, there are measurable influences of network A on network B, and yet network B retains its ability to respond independently.
"]},{"key":"dc:title","label":"Title","values":["Synesthetic Sensor Fusion via a Cross-Wired Artificial Neural Network."]}]}],"canonical_facts":{"dc:creator":["Seneker, Stephen Samuel"],"dc:date.issued":["2002-05-04T07:00:00Z"],"dc:description.abstract":["The purpose of this interdisciplinary study was to examine the behavior of two artificial neural networks cross-wired based on the synesthesia cross-wiring hypothesis. Motivation for the study was derived from the study of psychology, robotics, and artificial neural networks, with perceivable application in the domain of mobile autonomous robotics where sensor fusion is a current research topic. This model of synesthetic sensor fusion does not exhibit synesthetic responses. However, it was observed that cross-wiring two independent networks does not change the functionality of the individual networks, but allows the inputs to one network to partially determine the outputs of the other network in some cases. Specifically, there are measurable influences of network A on network B, and yet network B retains its ability to respond independently.
"],"dc:identifier":["https://dc.etsu.edu/context/etd/article/1830/viewcontent/SenekerS041902.pdf","https://dc.etsu.edu/etd/673"],"dc:rights":["Copyright by the authors."],"dc:subject":["Neural Networks","Robotics","Sensor Fusion","Synesthesia","Education","Liberal Studies"],"dc:title":["Synesthetic Sensor Fusion via a Cross-Wired Artificial Neural Network."],"thesis:degree_discipline":["Liberal Studies"],"thesis:degree_level":["Thesis - unrestricted"],"thesis:degree_name":["MALS (Master of Arts in Liberal Studies)"]},"updated_at":"2026-07-24T02:19:07Z"}