Zobrazeno 1 - 10
of 10 614
pro vyhledávání: '"Margulies A"'
Autor:
Royer, Jessica, Paquola, Casey, Valk, Sofie L., Kirschner, Matthias, Hong, Seok-Jun, Park, Bo-yong, Bethlehem, Richard A. I., Leech, Robert, Yeo, B. T. Thomas, Jefferies, Elizabeth, Smallwood, Jonathan, Margulies, Daniel, Bernhardt, Boris C.
Multimodal neuroimaging grants a powerful in vivo window into the structure and function of the human brain. Recent methodological and conceptual advances have enabled investigations of the interplay between large-scale spatial trends, or gradients,
Externí odkaz:
http://arxiv.org/abs/2402.11055
Autor:
Smedemark-Margulies, Niklas, Wang, Ye, Koike-Akino, Toshiaki, Liu, Jing, Parsons, Kieran, Bicer, Yunus, Erdogmus, Deniz
Classification models for electroencephalogram (EEG) data show a large decrease in performance when evaluated on unseen test sub jects. We reduce this performance decrease using new regularization techniques during model training. We propose several
Externí odkaz:
http://arxiv.org/abs/2310.08762
Autor:
Smedemark-Margulies, Niklas, Bicer, Yunus, Sunger, Elifnur, Naufel, Stephanie, Imbiriba, Tales, Tunik, Eugene, Erdoğmuş, Deniz, Yarossi, Mathew
Objective: The objective of the study is to efficiently increase the expressivity of surface electromyography-based (sEMG) gesture recognition systems. Approach: We use a problem transformation approach, in which actions were subset into two biomecha
Externí odkaz:
http://arxiv.org/abs/2309.12217
Autor:
Bicer, Yunus, Smedemark-Margulies, Niklas, Celik, Basak, Sunger, Elifnur, Orendorff, Ryan, Naufel, Stephanie, Imbiriba, Tales, Erdoğmuş, Deniz, Tunik, Eugene, Yarossi, Mathew
Publikováno v:
in IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 32, pp. 1187-1197, 2024
We designed and tested a system for real-time control of a user interface by extracting surface electromyographic (sEMG) activity from eight electrodes in a wrist-band configuration. sEMG data were streamed into a machine-learning algorithm that clas
Externí odkaz:
http://arxiv.org/abs/2309.07289
Autor:
Karl-Heinz Nenning, Ting Xu, Arielle Tambini, Alexandre R. Franco, Daniel S. Margulies, Stanley J. Colcombe, Michael P. Milham
Publikováno v:
Communications Biology, Vol 7, Iss 1, Pp 1-7 (2024)
Abstract Brain connectome analysis suffers from the high dimensionality of connectivity data, often forcing a reduced representation of the brain at a lower spatial resolution or parcellation. This is particularly true for graph-based representations
Externí odkaz:
https://doaj.org/article/05dee1f385354fef8ff193a03ba49759
Publikováno v:
IUCrJ, Vol 11, Iss 3, Pp 287-298 (2024)
This work focuses on molecules that are encoded by the major histocompatibility complex (MHC) and that bind self-, foreign- or tumor-derived peptides and display these at the cell surface for recognition by receptors on T lymphocytes (T cell receptor
Externí odkaz:
https://doaj.org/article/ecc49383e4974d0ba938c62a7c7b70d2
Autor:
Tal Seidel Malkinson, Dimitri J. Bayle, Brigitte C. Kaufmann, Jianghao Liu, Alexia Bourgeois, Katia Lehongre, Sara Fernandez-Vidal, Vincent Navarro, Virginie Lambrecq, Claude Adam, Daniel S. Margulies, Jacobo D. Sitt, Paolo Bartolomeo
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-17 (2024)
Abstract Exogenous attention, the process that makes external salient stimuli pop-out of a visual scene, is essential for survival. How attention-capturing events modulate human brain processing remains unclear. Here we show how the psychological con
Externí odkaz:
https://doaj.org/article/f135bcce0d154e4c98eb402cd0c19359
Autor:
Smedemark-Margulies, Niklas, Celik, Basak, Imbiriba, Tales, Kocanaogullari, Aziz, Erdogmus, Deniz
We study the problem of inferring user intent from noninvasive electroencephalography (EEG) to restore communication for people with severe speech and physical impairments (SSPI). The focus of this work is improving the estimation of posterior symbol
Externí odkaz:
http://arxiv.org/abs/2211.02630
Autor:
Yunus Bicer, Niklas Smedemark-Margulies, Basak Celik, Elifnur Sunger, Ryan Orendorff, Stephanie Naufel, Tales Imbiriba, Deniz Erdogmus, Eugene Tunik, Mathew Yarossi
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 32, Pp 1187-1197 (2024)
We designed and tested a system for real-time control of a user interface by extracting surface electromyographic (sEMG) activity from eight electrodes in a wristband configuration. sEMG data were streamed into a machine-learning algorithm that class
Externí odkaz:
https://doaj.org/article/b2eafb41fcf54b5fae54118a4c4736f0
Autor:
Shankar Subramaniam, Metin Akay, Mark A. Anastasio, Vasudev Bailey, David Boas, Paolo Bonato, Ashutosh Chilkoti, Jennifer R. Cochran, Vicki Colvin, Tejal A. Desai, James S. Duncan, Frederick H. Epstein, Stephanie Fraley, Cecilia Giachelli, K. Jane Grande-Allen, Jordan Green, X. Edward Guo, Isaac B. Hilton, Jay D. Humphrey, Chris R Johnson, George Karniadakis, Michael R. King, Robert F. Kirsch, Sanjay Kumar, Cato T. Laurencin, Song Li, Richard L. Lieber, Nigel Lovell, Prashant Mali, Susan S. Margulies, David F. Meaney, Brenda Ogle, Bernhard Palsson, Nicholas A. Peppas, Eric J. Perreault, Rick Rabbitt, Lori A. Setton, Lonnie D. Shea, Sanjeev G. Shroff, Kirk Shung, Andreas S. Tolias, Marjolein C.H. van der Meulen, Shyni Varghese, Gordana Vunjak-Novakovic, John A. White, Raimond Winslow, Jianyi Zhang, Kun Zhang, Charles Zukoski, Michael I. Miller
Publikováno v:
IEEE Open Journal of Engineering in Medicine and Biology, Vol 5, Pp 1-13 (2024)
Over the past two decades Biomedical Engineering has emerged as a major discipline that bridges societal needs of human health care with the development of novel technologies. Every medical institution is now equipped at varying degrees of sophistica
Externí odkaz:
https://doaj.org/article/99aa19c8944b4368939a87375caa3abd