Search Results - "Matelsky, Jordan K."

DotMotif: an open-source tool for connectome subgraph isomorphism search and graph queries by Matelsky, Jordan K., Reilly, Elizabeth P., Johnson, Erik C., Stiso, Jennifer, Bassett, Danielle S., Wester, Brock A., Gray-Roncal, William

“…Recent advances in neuroscience have enabled the exploration of brain structure at the level of individual synaptic connections. These connectomics datasets…”
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Using machine learning on clinical data to identify unexpected patterns in groups of COVID-19 patients by Cowley, Hannah Paris, Robinette, Michael S., Matelsky, Jordan K., Xenes, Daniel, Kashyap, Aparajita, Ibrahim, Nabeela F., Robinson, Matthew L., Zeger, Scott, Garibaldi, Brian T., Gray-Roncal, William

“…As clinicians are faced with a deluge of clinical data, data science can play an important role in highlighting key features driving patient outcomes, aiding…”
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Toward a scalable framework for reproducible processing of volumetric, nanoscale neuroimaging datasets by Johnson, Erik C, Wilt, Miller, Rodriguez, Luis M, Norman-Tenazas, Raphael, Rivera, Corban, Drenkow, Nathan, Kleissas, Dean, LaGrow, Theodore J, Cowley, Hannah P, Downs, Joseph, K. Matelsky, Jordan, J. Hughes, Marisa, P. Reilly, Elizabeth, A. Wester, Brock, L. Dyer, Eva, P. Kording, Konrad, R. Gray-Roncal, William

“…Abstract Background Emerging neuroimaging datasets (collected with imaging techniques such as electron microscopy, optical microscopy, or X-ray…”
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A substrate for modular, extensible data-visualization by Matelsky, Jordan K, Downs, Joseph, Cowley, Hannah P, Wester, Brock, Gray-Roncal, William

“…As the scope of scientific questions increase and datasets grow larger, the visualization of relevant information correspondingly becomes more difficult and…”
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An Integrated Toolkit for Extensible and Reproducible Neuroscience by Matelsky, Jordan K, Rodriguez, Luis M, Xenes, Daniel, Gion, Timothy, Hider, Robert, Wester, Brock A, Gray-Roncal, William

“…As neuroimagery datasets continue to grow in size, the complexity of data analyses can require a detailed understanding and implementation of systems computer…”
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Automated Tools to Improve Spinal Cord Injury Outcomes with Epidural Stimulation by Johnson, Erik C., Matelsky, Jordan K., Cooke, Christa, Christie, Breanne, Jones, Khalid, Ledbetter, Harley, Wang, Siqi, Forrest, Gail, Torgerson, Nathan, Angeli, Claudia A., Harkema, Susan J., Tenore, Francesco V.

“…The Spinal Cord Injury (SCI) patient population suffers not only from severe restrictions of sensory and motor function, but also impacts on a range of…”
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CIRCUIT summer program: A computational neuroscience outreach experience for high-achieving undergraduates via sponsored research by Encarnacion, Marysol, Bishop, Caitlyn, Downs, Joseph, Drenkow, Nathan, Matelsky, Jordan K, Rivlin, Patricia K, Wester, Brock, Gray-Roncal, William

“…Programs that focus on student outreach are often disjoint from sponsored research efforts, despite the mutually beneficial opportunities that are possible…”
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Empirical influence functions to understand the logic of fine-tuning by Matelsky, Jordan K, Ungar, Lyle, Kording, Konrad P

“…Understanding the process of learning in neural networks is crucial for improving their performance and interpreting their behavior. This can be approximately…”
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Scatterbrained: A flexible and expandable pattern for decentralized machine learning by Wilt, Miller, Matelsky, Jordan K, Gearhart, Andrew S

“…Federated machine learning is a technique for training a model across multiple devices without exchanging data between them. Because data remains local to each…”
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A large language model-assisted education tool to provide feedback on open-ended responses by Matelsky, Jordan K, Parodi, Felipe, Liu, Tony, Lange, Richard D, Kording, Konrad P

“…Open-ended questions are a favored tool among instructors for assessing student understanding and encouraging critical exploration of course material…”
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Vision-language models for decoding provider attention during neonatal resuscitation by Parodi, Felipe, Matelsky, Jordan K., Regla-Vargas, Alejandra, Foglia, Elizabeth E., Lim, Charis, Weinberg, Danielle, Kording, Konrad P., Herrick, Heidi M., Platt, Michael L.

“…Neonatal resuscitations demand an exceptional level of attentiveness from providers, who must process multiple streams of information simultaneously. Gaze…”
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Nanoscale Connectomics Annotation Standards Framework by Guittari, Nicole K, Wimbish, Miguel E, Rivlin, Patricia K, Hinton, Mark A, Matelsky, Jordan K, Rose, Victoria A, RiveraJr, Jorge L, Stock, Nicole E, Wester, Brock A, Johnson, Erik C, Gray-Roncal, William R

“…The promise of large-scale, high-resolution datasets from Electron Microscopy (EM) and X-ray Microtomography (XRM) lies in their ability to reveal neural…”
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EM and XRM Connectomics Imaging and Experimental Metadata Standards by Wimbish, Miguel E, Guittari, Nicole K, Rose, Victoria A, RiveraJr, Jorge L, Rivlin, Patricia K, Hinton, Mark A, Matelsky, Jordan K, Stock, Nicole E, Wester, Brock A, Johnson, Erik C, Gray-Roncal, William R

“…High resolution volumetric neuroimaging datasets from electron microscopy (EM) and x-ray micro and holographic-nano tomography (XRM/XHN) are being generated at…”
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Exploiting Large Neuroimaging Datasets to Create Connectome-Constrained Approaches for more Robust, Efficient, and Adaptable Artificial Intelligence by Johnson, Erik C, Robinson, Brian S, Vallabha, Gautam K, Joyce, Justin, Matelsky, Jordan K, Norman-Tenazas, Raphael, Western, Isaac, Villafañe-Delgado, Marisel, Cervantes, Martha, Robinette, Michael S, Reddy, Arun V, Kitchell, Lindsey, Rivlin, Patricia K, Reilly, Elizabeth P, Drenkow, Nathan, Roos, Matthew J, Wang, I-Jeng, Wester, Brock A, Gray-Roncal, William R, Hoffmann, Joan A

“…Despite the progress in deep learning networks, efficient learning at the edge (enabling adaptable, low-complexity machine learning solutions) remains a…”
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