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Jedediah M. Singer
Jedediah M. Singer
Principal Applied Scientist, Microsoft
Verified email at microsoft.com
Title
Cited by
Cited by
Year
Temporal cortex neurons encode articulated actions as slow sequences of integrated poses
JM Singer, DL Sheinberg
Journal of Neuroscience 30 (8), 3133-3145, 2010
762010
Quickest detection of drug-resistant seizures: An optimal control approach
S Santaniello, SP Burns, AJ Golby, JM Singer, WS Anderson, SV Sarma
Epilepsy & Behavior 22, S49-S60, 2011
712011
Effects of long-term object familiarity on event-related potentials in the monkey
JJ Peissig, J Singer, K Kawasaki, DL Sheinberg
Cerebral Cortex 17 (6), 1323-1334, 2007
512007
Holistic processing unites face parts across time
JM Singer, DL Sheinberg
Vision research 46 (11), 1838-1847, 2006
472006
Large-scale design and refinement of stable proteins using sequence-only models
JM Singer, S Novotney, D Strickland, HK Haddox, N Leiby, GJ Rocklin, ...
PloS one 17 (3), e0265020, 2022
232022
Predicting episodic memory formation for movie events
H Tang, J Singer, MJ Ison, G Pivazyan, M Romaine, R Frias, E Meller, ...
Scientific reports 6 (1), 30175, 2016
212016
What is changing when: Decoding visual information in movies from human intracranial recordings
L Isik, J Singer, JR Madsen, N Kanwisher, G Kreiman
Neuroimage 180, 147-159, 2018
202018
New guidance for using t-SNE: Alternative defaults, hyperparameter selection automation, and comparative evaluation
R Gove, L Cadalzo, N Leiby, JM Singer, A Zaitzeff
Visual Informatics 6 (2), 87-97, 2022
182022
Localization of sleep spindles, k-complexes, and vertex waves with subdural electrodes in children
ALR Pinto, IS Fernández, JM Peters, S Manganaro, JM Singer, ...
Journal of Clinical Neurophysiology 31 (4), 367-374, 2014
122014
Temporal stability of visually selective responses in intracranial field potentials recorded from human occipital and temporal lobes
AK Bansal, JM Singer, WS Anderson, A Golby, JR Madsen, G Kreiman
Journal of Neurophysiology, 2012
122012
Prediction of whole-cell transcriptional response with machine learning
M Eslami, AE Borujeni, H Eramian, M Weston, G Zheng, J Urrutia, ...
Bioinformatics 38 (2), 404-409, 2022
82022
Short temporal asynchrony disrupts visual object recognition
JM Singer, G Kreiman
Journal of vision 14 (5), 7-7, 2014
82014
Neural representation of action sequences: how far can a simple snippet-matching model take us?
C Tan, JM Singer, T Serre, D Sheinberg, T Poggio
Advances in neural information processing systems 26, 2013
82013
A method for the real-time rendering of formless dot field structure-from-motion stimuli
JM Singer, DL Sheinberg
Journal of Vision 8 (5), 8-8, 2008
82008
XOR style tasks for testing visual object processing in monkeys
B Anderson, JJ Peissig, J Singer, DL Sheinberg
Vision Research 46 (11), 1804-1815, 2006
82006
Introduction to statistical learning and pattern classification
J Singer, G Kreiman
Visual Population Codes (ed. N. Kriegeskorte & G. Kreiman)(MIT Press, Boston …, 2012
62012
Sensitivity to timing and order in human visual cortex
JM Singer, JR Madsen, WS Anderson, G Kreiman
Journal of neurophysiology 113 (5), 1656-1669, 2015
52015
Improved datasets and evaluation methods for the automatic prediction of DNA-binding proteins
A Zaitzeff, N Leiby, FC Motta, SB Haase, JM Singer
Bioinformatics 38 (1), 44-51, 2022
32022
A machine learning approach to predict episodic memory formation
H Tang, J Singer, M Ison, G Pivazyan, M Romaine, E Meller, V Perron, ...
2016 Annual Conference on Information Science and Systems (CISS), 539-544, 2016
32016
Comparison and evaluation of data-driven protein stability prediction models
JA Csicsery-Ronay, A Zaitzeff, JM Singer
Biorxiv, 2022.03. 14.483859, 2022
22022
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Articles 1–20