Matthew J. Roos

According to our database, Matthew J. Roos authored at least 9 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Exploiting Large Neuroimaging Datasets to Create Connectome-Constrained Approaches for more Robust, Efficient, and Adaptable Artificial Intelligence.

Erik C. Johnson, Brian S. Robinson, Gautam K. Vallabha, Justin Joyce, Jordan K. Matelsky, Raphael Norman-Tenazas, Isaac Western, Marisel Villafañe-Delgado, Martha Cervantes, Michael S. Robinette, Arun V. Reddy, Lindsey Kitchell, Patricia K. Rivlin, Elizabeth Perez Reilly, Nathan Drenkow, Matthew J. Roos, I-Jeng Wang, Brock A. Wester, William R. Gray Roncal, Joan A. Hoffmann

CoRR, 2023

Enabling local learning for generative-replay-based continual learning with a recurrent model of the insect memory center.

Raphael Norman-Tenazas, Isaac Western, Gautam K. Vallabha, Matthew J. Roos, Erik C. Johnson, Brian S. Robinson

Proceedings of the 2023 International Conference on Neuromorphic Systems, 2023

Using Evolutionary Computation to Optimize Task Performance of Unclocked, Recurrent Boolean Circuits in FPGAs.

Raphael Norman-Tenazas, David Kleinberg, Erik C. Johnson, Daniel P. Lathrop, Matthew J. Roos

Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023

2020

Utilizing a null class to restrict decision spaces and defend against neural network adversarial attacks.

Matthew J. Roos

CoRR, 2020

2018

Neural Reconstruction Integrity: A Metric for Assessing the Connectivity Accuracy of Reconstructed Neural Networks.

Elizabeth Perez Reilly, Jeffrey S. Garretson, William R. Gray Roncal, Dean M. Kleissas, Brock A. Wester, Mark A. Chevillet, Matthew J. Roos

Frontiers Neuroinformatics, 2018

2017

Semantic attributes are encoded in human electrocorticographic signals during visual object recognition.

Kyle Rupp, Matthew J. Roos, Griffin Milsap, Carlos A. Caceres, Christopher R. Ratto, Mark A. Chevillet, Nathan E. Crone, Michael Wolmetz

NeuroImage, 2017

Feature Selection Methods for Zero-Shot Learning of Neural Activity.

Carlos A. Caceres, Matthew J. Roos, Kyle Rupp, Griffin Milsap, Nathan E. Crone, Michael Wolmetz, Christopher R. Ratto

Frontiers Neuroinformatics, 2017

Approaches to Zero-Shot stimulus decoding in ECoG and potential BCI Applications.

Christopher R. Ratto, Carlos A. Caceres, Matthew J. Roos, Kyle Rupp, Griffin Milsap, Nathan E. Crone, Michael Wolmetz

Proceedings of the From Vision to Reality, 2017

2016

Evaluating semantic models with word-sentence relatedness.

Kimberly Glasgow, Matthew J. Roos, Amy J. Haufler, Mark A. Chevillet, Michael Wolmetz

CoRR, 2016