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Yarden Cohen - Publications

Affiliations: 
Weizmann Institute of Science, Rehovot, Israel 
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8 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2022 Cohen Y, Nicholson DA, Sanchioni A, Mallaber EK, Skidanova V, Gardner TJ. Automated annotation of birdsong with a neural network that segments spectrograms. Elife. 11. PMID 35050849 DOI: 10.7554/eLife.63853  0.442
2021 Cohen Y, Schneidman E, Paz R. The geometry of neuronal representations during rule learning reveals complementary roles of cingulate cortex and putamen. Neuron. PMID 33484641 DOI: 10.1016/j.neuron.2020.12.027  0.64
2020 Cohen Y, Shen J, Semu D, Leman DP, Liberti WA, Perkins LN, Liberti DC, Kotton DN, Gardner TJ. Hidden neural states underlie canary song syntax. Nature. PMID 32555461 DOI: 10.1038/S41586-020-2397-3  0.595
2018 Deku F, Frewin CL, Stiller A, Cohen Y, Aqeel S, Joshi-Imre A, Black B, Gardner TJ, Pancrazio JJ, Cogan SF. Amorphous Silicon Carbide Platform for Next Generation Penetrating Neural Interface Designs. Micromachines. 9. PMID 30424413 DOI: 10.3390/Mi9100480  0.462
2017 Deku F, Cohen Y, Joshi-Imre A, Kanneganti A, Gardner T, Cogan S. Amorphous silicon carbide ultramicroelectrode arrays for neural stimulation and recording. Journal of Neural Engineering. PMID 28952963 DOI: 10.1088/1741-2552/Aa8F8B  0.468
2015 Cohen Y, Paz R. It All Depends on the Context, but Also on the Amygdala. Neuron. 87: 678-80. PMID 26291153 DOI: 10.1016/j.neuron.2015.08.012  0.454
2015 Cohen Y, Paz R. It All Depends on the Context, but Also on the Amygdala Neuron. 87: 678-680. DOI: 10.1016/j.neuron.2015.08.012  0.427
2013 Cohen Y, Schneidman E. High-order feature-based mixture models of classification learning predict individual learning curves and enable personalized teaching. Proceedings of the National Academy of Sciences of the United States of America. 110: 684-9. PMID 23269833 DOI: 10.1073/pnas.1211606110  0.585
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