Neta Zach
Affiliations: | Rockefeller University, New York, NY, United States |
Area:
behavioral neurophysiologyGoogle:
"Neta Zach"Mean distance: 16.22 (cluster 17) | S | N | B | C | P |
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Publications
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| Kueffner R, Zach N, Bronfeld M, et al. (2019) Stratification of amyotrophic lateral sclerosis patients: a crowdsourcing approach. Scientific Reports. 9: 690 |
| Taylor AA, Fournier C, Polak M, et al. (2016) Predicting disease progression in amyotrophic lateral sclerosis. Annals of Clinical and Translational Neurology. 3: 866-875 |
| Bacci ED, Staniewska D, Coyne KS, et al. (2015) Item response theory analysis of the Amyotrophic Lateral Sclerosis Functional Rating Scale-Revised in the Pooled Resource Open-Access ALS Clinical Trials Database. Amyotrophic Lateral Sclerosis & Frontotemporal Degeneration. 1-11 |
| Zach N, Ennist DL, Taylor AA, et al. (2015) Being PRO-ACTive: What can a Clinical Trial Database Reveal About ALS? Neurotherapeutics : the Journal of the American Society For Experimental Neurotherapeutics. 12: 417-23 |
| Küffner R, Zach N, Norel R, et al. (2015) Crowdsourced analysis of clinical trial data to predict amyotrophic lateral sclerosis progression. Nature Biotechnology. 33: 51-7 |
| Atassi N, Berry J, Shui A, et al. (2014) The PRO-ACT database: design, initial analyses, and predictive features. Neurology. 83: 1719-25 |
| Fekete T, Zach N, Mujica-Parodi LR, et al. (2013) Multiple kernel learning captures a systems-level functional connectivity biomarker signature in amyotrophic lateral sclerosis. Plos One. 8: e85190 |
| Zach N, Inbar D, Grinvald Y, et al. (2012) Single neurons in M1 and premotor cortex directly reflect behavioral interference. Plos One. 7: e32986 |
| Zach N, Inbar D, Grinvald Y, et al. (2008) Emergence of novel representations in primary motor cortex and premotor neurons during associative learning. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 28: 9545-56 |
| Zach N, Kanarek N, Inbar D, et al. (2005) Segregation between acquisition and long-term memory in sensorimotor learning. The European Journal of Neuroscience. 22: 2357-62 |