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Cognition|November 21, 2008
Learn locally, act globally: learning language from variation set cuesLuca Onnis, Heidi R Waterfall, Shimon EdelmanPlos One|May 24, 2013
Optimizing complexity measures for FMRI data: algorithm, artifact, and sensitivityDenis Rubin, Tomer Fekete, Lilianne R Mujica-ParodiProceedings of the National Academy of Sciences of the United States of America|August 10, 2005
Unsupervised learning of natural languagesZach Solan, David Horn, Eytan Ruppin, et al.Frontiers in Human Neuroscience|June 28, 2019
EEG-Based Prediction of Cognitive Load in Intelligence TestsNir Friedman, Tomer Fekete, Kobi Gal, et al.Journal of Neuroscience Methods|December 23, 2008
Removal of spatial biological artifacts in functional maps by local similarity minimizationTomer Fekete, David B Omer, Shmuel Naaman, et al.Proceedings of the National Academy of Sciences of the United States of America|July 26, 2017
The evolution of cognitive mechanisms in response to cultural innovationsArnon Lotem, Joseph Y Halpern, Shimon Edelman, et al.Journal of Computational Neuroscience|March 28, 2009
Arousal increases the representational capacity of cortical tissueTomer Fekete, Itamar Pitowsky, Amiram Grinvald, et al.Journal of Child Language|April 28, 2010
An empirical generative framework for computational modeling of language acquisitionHeidi R Waterfall, Ben Sandbank, Luca Onnis, et al.Proceedings. IEEE Computational Systems Bioinformatics Conference|February 2, 2006
Motif extraction and protein classificationVered Kunik, Zach Solan, Shimon Edelman, et al.Plos One|January 7, 2014
Multiple kernel learning captures a systems-level functional connectivity biomarker signature in amyotrophic lateral sclerosisTomer Fekete, Neta Zach, Lilianne R Mujica-Parodi, et al.Pageof 5