Papers – Elliott Forney

Also, check out my and posters and presentations.

2019

Convolutional Neural Networks for EEG Signal Classification in Asynchronous Brain-Computer Interfaces. Elliott M. Forney (2019) PhD Dissertation. Department of Computer Science, Colorado State University, Fort Collins, CO.

Detecting P300 ERPs with Convolutional Networks. Elliott M. Forney, Charles W. Anderson, Patricia L. Davies, William J. Gavin, Marla C. Roll. Proceedings of the International Brain-Computer Interface Meeting, Asilomar California, May 30^th – June 3^rd, 2016. Graz University of Technology Publishing House.
CEBL3: A New Software Platform for EEG Analysis and Rapid Prototyping of BCI Technologies. Elliott M. Forney, Charles W. Anderson, William J. Gavin, Patricia L. Davies, Marla C. Roll, Igor Ryzhkov, Fereydoon Vafaei. Proceedings of the International Brain-Computer Interface Meeting, Asilomar California, May 30^th – June 3^rd, 2016. Graz University of Technology Publishing House.

Echo State Networks for Modeling and Classification of EEG Signals in Mental-Task Brain Computer Interfaces. Elliott M. Forney, Charles W. Anderson, William J. Gavin, Patricia L. Davies, Marla C. Roll, Brittany K. Taylor, (2015) Technical Report, Department of Computer Science, Colorado State University, Fort Collins, CO.

Brain Computer Interface Classifier Parameters Are Influenced by Practice: Results from a P300 Speller. Kimberly The, Brittany Taylor, Jewel Crasta, Mei-Heng Lin, Elliott Forney, Charles Anderson, Patricia Davies and William Gavin. Proceedings of the Society of Psychophisological Research (SPR), 2014.

Representing and Classifying EEG Signals in Mental Task Brain-Computer Interfaces. Elliott M. Forney (2013) Research Exam. Department of Computer Science, Colorado State University, Fort Collins, CO.
A Stimulus-Free Brain-Computer Interface Using Mental Tasks and Echo State Networks. Elliott Forney, Charles Anderson, William Gavin and Patricia Davies. Proceedings of the Fifth International Brain-Computer Interface Meeting: Defining the Future, June 3 – 7, 2013. Graz University of Technology Publishing House. DOI:10.3217/978-3-85125-260-6-148
The N100 of Averaged ERPs Predicts LDA Classifier Success on an Individual Basis. Brittany Taylor, Elliott Forney, William Gavin, Charles Anderson and Patricia Davies. Proceedings of the Fifth International Brain-Computer Interface Meeting: Defining the Future, June 3 – 7, 2013. Graz University of Technology Publishing House. DOI:10.3217/978-3-85125-260-6-28
A Comparison of EEG Systems for Use in P300 Spellers by Users With Motor Impairments in Real-World Environments. Elliott Forney, Charles Anderson, Patricia Davies, William Gavin, Brittany Taylor and Marla Roll. Proceedings of the Fifth International Brain-Computer Interface Meeting: Defining the Future, June 3 – 7, 2013. Graz University of Technology Publishing House. DOI:10.3217/978-3-85125-260-6-14

EEG character identification using stimulus sequences designed to maximize mimimal hamming distance. Tadanori Fukami, Takamasa Shimada, Elliott Forney, Charles W Anderson. Annual International Conference of the IEEE Engineering in Medicine and Biology Society, August 28 – September 1, 2012. pp. 1782 – 1785. 2012.
Overcoming Barriers in Noninvasive Brain-Computer Interfaces. Elliott Forney, Kathleen Ericson, Charles Anderson, Shrideep Pallickara, William Gavin, Patricia Davies, Marla Roll, Zachary Cashero. Summary of our research in Brain-Computer Interfaces for the g.Tec Brain-Computer Interfaces Competition. July 2012.

Electroencephalogram Classification by Forecasting with Recurrent Neural Networks. Elliott Forney (2011) Masters Thesis. Department of Computer Science, Colorado State University, Fort Collins, CO.

Classification of EEG During Imagined Mental Tasks by Forecasting with Elman Recurrent Neural Networks. Elliott Forney and Charles Anderson. Proceedings of the International Joint Conference on Neural Networks, July 31–August 5, 2011. pp. 2749–2755, 2011, DOI: 10.1109/IJCNN.2011.6033579.

Reliable identification of mental tasks using time-embedded EEG and sequential evidence accumulation. Charles Anderson, Elliott Forney, Douglas Hains and Annamalai Natarajan. Journal of Neural Engineering, April 2011, vol. 8, no. 2, 025023.

Critical issues in state-of-the-art brain-computer interface signal processing. Krusienski, D., Grosse-Wentrup, M., Galan, F., Coyle, D., Miller, K., Forney, E., Anderson, C. Journal of Neural Engineering, April 2011, vol. 8, no. 2, 025002.