MALS (Master of Arts in Liberal Studies)
Date of Award
Committee Chair or Co-Chairs
Jeff R. Knisley
Michael L. Woodruff, William K. Hemphill
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.
Thesis - unrestricted
Seneker, Stephen Samuel, "Synesthetic Sensor Fusion via a Cross-Wired Artificial Neural Network." (2002). Electronic Theses and Dissertations. Paper 673. https://dc.etsu.edu/etd/673
Copyright by the authors.