Jordan Matelsky

According to our database, Jordan Matelsky authored at least 16 papers between 2017 and 2024.

Collaborative distances:

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

2024

- Visual Analysis of Neuronal Connectivity Motifs.

Jakob Troidl, Simon Warchol, Jinhan Choi, Jordan Matelsky, Nagaraju Dhanyasi, Xueying Wang, Brock A. Wester, Donglai Wei, Jeff W. Lichtman, Hanspeter Pfister, Johanna Beyer

IEEE Trans. Vis. Comput. Graph., January, 2024

Computational kinematics of dance: distinguishing hip hop genres.

Ben Baker, Tony Liu, Jordan Matelsky, Felipe Parodi, Brett Mensh, John W. Krakauer, Konrad P. Kording

Frontiers Robotics AI, 2024

Empirical influence functions to understand the logic of fine-tuning.

Jordan K. Matelsky, Lyle H. Ungar, Konrad P. Kording

CoRR, 2024

Vision-language models for decoding provider attention during neonatal resuscitation.

Felipe Parodi, Jordan K. Matelsky, Alejandra Regla-Vargas, Elizabeth E. Foglia, Charis Lim, Danielle Weinberg, Konrad P. Kording, Heidi M. Herrick, Michael L. Platt

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

A large language model-assisted education tool to provide feedback on open-ended responses.

Jordan K. Matelsky, Felipe Parodi, Tony Liu, Richard D. Lange, Konrad P. Kording

CoRR, 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

Deep Networks as Paths on the Manifold of Neural Representations.

Richard D. Lange, Devin Kwok, Jordan Kyle Matelsky, Xinyue Wang, David Rolnick, Konrad P. Kording

Proceedings of the Topological, 2023

Automated Tools to Improve Spinal Cord Injury Outcomes with Epidural Stimulation.

Erik C. Johnson, Jordan K. Matelsky, Christa Cooke, Breanne P. Christie, Khalid Jones, Harley Ledbetter, Siqi Wang, Gail F. Forrest, Nathan Torgerson, Claudia A. Angeli, Susan J. Harkema, Francesco V. Tenore

Proceedings of the 11th International IEEE/EMBS Conference on Neural Engineering, 2023

2022

The Brain Observatory Storage Service and Database (BossDB): A Cloud-Native Approach for Petascale Neuroscience Discovery.

Robert Hider, Dean Kleissas, Timothy Gion, Daniel Xenes, Jordan Matelsky, Derek Pryor, Luis M. Rodriguez, Erik C. Johnson, William R. Gray Roncal, Brock A. Wester

Frontiers Neuroinformatics, 2022

Neural Networks as Paths through the Space of Representations.

Richard D. Lange, Jordan Matelsky, Xinyue Wang, Devin Kwok, David S. Rolnick, Konrad P. Kording

CoRR, 2022

2021

Scatterbrained: A flexible and expandable pattern for decentralized machine learning.

Miller Wilt, Jordan K. Matelsky, Andrew S. Gearhart

CoRR, 2021

An Integrated Toolkit for Extensible and Reproducible Neuroscience.

Jordan Matelsky, Luis M. Rodriguez, Daniel Xenes, Timothy Gion, Robert Hider, Brock A. Wester, William R. Gray Roncal

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

CONFIRMS: A Toolkit for Scalable, Black Box Connectome Assessment and Investigation.

Caitlyn Bishop, Jordan Matelsky, Miller Wilt, Joseph Downs, Patricia K. Rivlin, Stephen Plaza, Brock A. Wester, William R. Gray Roncal

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020

Leveraging Tools from Autonomous Navigation for Rapid, Robust Neuron Connectivity.

Nathan Drenkow, Justin Joyce, Jordan Matelsky, Jennifer Heiko, Reem Larabi, Brock A. Wester, Dean Kleissas, William R. Gray Roncal

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2018

Container-Based Clinical Solutions for Portable and Reproducible Image Analysis.

Jordan Matelsky, Gregory Kiar, Erik C. Johnson, Corban Rivera, Michael Toma, William R. Gray Roncal

J. Digit. Imaging, 2018

2017

A Large Deformation Diffeomorphic Approach to Registration of CLARITY Images via Mutual Information.

Kwame S. Kutten, Nicolas Charon, Michael I. Miller, J. Tilak Ratnanather, Jordan Matelsky, Alexander D. Baden, Kunal Lillaney, Karl Deisseroth, Li Ye, Joshua T. Vogelstein

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017