Danny Eytan
Cited by
Cited by
Dynamics and effective topology underlying synchronization in networks of cortical neurons
D Eytan, S Marom
Journal of Neuroscience 26 (33), 8465-8476, 2006
Selective adaptation in networks of cortical neurons
D Eytan, N Brenner, S Marom
Journal of Neuroscience 23 (28), 9349-9356, 2003
Unsupervised representation learning for time series with temporal neighborhood coding
S Tonekaboni, D Eytan, A Goldenberg
arXiv preprint arXiv:2106.00750, 2021
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
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
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
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
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
Neuronal response clamp
A Wallach, D Eytan, A Gal, C Zrenner, S Marom
Frontiers in neuroengineering 4, 3, 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
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
Learning in ex-vivo developing networks of cortical neurons
S Marom, D Eytan
Progress in brain research 147, 189-199, 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
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
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
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, 1380, 2010
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
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
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
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
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