Dynamics and effective topology underlying synchronization in networks of cortical neurons D Eytan, S Marom Journal of Neuroscience 26 (33), 8465-8476, 2006 | 483 | 2006 |
Unsupervised representation learning for time series with temporal neighborhood coding S Tonekaboni, D Eytan, A Goldenberg arXiv preprint arXiv:2106.00750, 2021 | 324 | 2021 |
Selective adaptation in networks of cortical neurons D Eytan, N Brenner, S Marom Journal of Neuroscience 23 (28), 9349-9356, 2003 | 291 | 2003 |
Dynamics of excitability over extended timescales in cultured cortical neurons A Gal, D Eytan, A Wallach, M Sandler, J Schiller, S Marom Journal of Neuroscience 30 (48), 16332-16342, 2010 | 127 | 2010 |
Order-based representation in random networks of cortical neurons G Shahaf, D Eytan, A Gal, E Kermany, V Lyakhov, C Zrenner, S Marom PLoS computational biology 4 (11), e1000228, 2008 | 106 | 2008 |
Dopamine-induced dispersion of correlations between action potentials in networks of cortical neurons D Eytan, A Minerbi, N Ziv, S Marom Journal of neurophysiology 92 (3), 1817-1824, 2004 | 99 | 2004 |
Towards understanding ECG rhythm classification using convolutional neural networks and attention mappings SD Goodfellow, A Goodwin, R Greer, PC Laussen, M Mazwi, D Eytan Machine learning for healthcare conference, 83-101, 2018 | 76 | 2018 |
Blood pressure estimation from PPG signals using convolutional neural networks and Siamese network O Schlesinger, N Vigderhouse, D Eytan, Y Moshe ICASSP 2020-2020 IEEE international conference on acoustics, speech and …, 2020 | 72 | 2020 |
Neuronal response clamp A Wallach, D Eytan, A Gal, C Zrenner, S Marom Frontiers in neuroengineering 4, 3, 2011 | 57 | 2011 |
Heart rate and blood pressure centile curves and distributions by age of hospitalized critically ill children D Eytan, AJ Goodwin, R Greer, AM Guerguerian, PC Laussen Frontiers in pediatrics 5, 52, 2017 | 51 | 2017 |
Tradeoffs and constraints on neural representation in networks of cortical neurons E Kermany, A Gal, V Lyakhov, R Meir, S Marom, D Eytan Journal of Neuroscience 30 (28), 9588-9596, 2010 | 49 | 2010 |
Learning in ex-vivo developing networks of cortical neurons S Marom, D Eytan Progress in brain research 147, 189-199, 2005 | 48 | 2005 |
Pediatric inflammatory multisystem syndrome with central nervous system involvement and hypocomplementemia following SARS-COV-2 infection T Regev, M Antebi, D Eytan, Y Shachor-Meyouhas, A Ilivitzki, YB Aviel, ... The Pediatric Infectious Disease Journal 39 (8), e206-e207, 2020 | 47 | 2020 |
On the precarious path of reverse neuro-engineering S Marom, R Meir, E Braun, A Gal, E Kermany, D Eytan Frontiers in Computational Neuroscience 3, 495, 2009 | 45 | 2009 |
Development and validation of a machine learning model predicting illness trajectory and hospital utilization of COVID-19 patients: a nationwide study M Roimi, R Gutman, J Somer, A Ben Arie, I Calman, Y Bar-Lavie, ... Journal of the American Medical Informatics Association 28 (6), 1188-1196, 2021 | 44 | 2021 |
A generic framework for real-time multi-channel neuronal signal analysis, telemetry control, and sub-millisecond latency feedback generation C Zrenner, D Eytan, A Wallach, P Thier, S Marom Frontiers in neuroscience 4, 173, 2010 | 44 | 2010 |
Evaluating and reducing cognitive load should be a priority for machine learning in healthcare DE Ehrmann, SN Gallant, S Nagaraj, SD Goodfellow, D Eytan, ... Nature Medicine 28 (7), 1331-1333, 2022 | 41 | 2022 |
Generative ode modeling with known unknowns O Linial, N Ravid, D Eytan, U Shalit Proceedings of the Conference on Health, Inference, and Learning, 79-94, 2021 | 38 | 2021 |
Prediction of cardiac arrest from physiological signals in the pediatric ICU S Tonekaboni, M Mazwi, P Laussen, D Eytan, R Greer, SD Goodfellow, ... Machine Learning for Healthcare Conference, 534-550, 2018 | 36 | 2018 |
A practical approach to storage and retrieval of high-frequency physiological signals AJ Goodwin, D Eytan, RW Greer, M Mazwi, A Thommandram, ... Physiological measurement 41 (3), 035008, 2020 | 33 | 2020 |