Elad Ganmor - Publications
Affiliations: | Weizmann Institute of Science, Rehovot, Israel |
Year | Citation | Score | |||
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2016 | Landy MS, Ganmor E, Simoncelli EP. Sub-optimal Integration of Orientation Across Saccades Journal of Vision. 16: 18. DOI: 10.1167/16.4.9 | 0.462 | |||
2015 | Ganmor E, Landy MS, Simoncelli EP. Near-optimal integration of orientation information across saccades. Journal of Vision. 15: 8. PMID 26650193 DOI: 10.1167/15.16.8 | 0.528 | |||
2015 | Ganmor E, Segev R, Schneidman E. A thesaurus for a neural population code. Elife. 4. PMID 26347983 DOI: 10.7554/Elife.06134 | 0.6 | |||
2015 | Ganmor E, Landy M, Simoncelli E. Near-optimal integration of orientation information across saccadic eye movements. Journal of Vision. 15: 1306. PMID 26326994 DOI: 10.1167/15.12.1306 | 0.524 | |||
2015 | Mohar B, Ganmor E, Lampl I. Faithful Representation of Tactile Intensity under Different Contexts Emerges from the Distinct Adaptive Properties of the First Somatosensory Relay Stations. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 35: 6997-7002. PMID 25948252 DOI: 10.1523/Jneurosci.4358-14.2015 | 0.343 | |||
2011 | Ganmor E, Segev R, Schneidman E. Sparse low-order interaction network underlies a highly correlated and learnable neural population code. Proceedings of the National Academy of Sciences of the United States of America. 108: 9679-84. PMID 21602497 DOI: 10.1073/Pnas.1019641108 | 0.632 | |||
2011 | Ganmor E, Segev R, Schneidman E. The architecture of functional interaction networks in the retina. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 31: 3044-54. PMID 21414925 DOI: 10.1523/Jneurosci.3682-10.2011 | 0.6 | |||
2010 | Ganmor E, Katz Y, Lampl I. Intensity-dependent adaptation of cortical and thalamic neurons is controlled by brainstem circuits of the sensory pathway. Neuron. 66: 273-86. PMID 20435003 DOI: 10.1016/J.Neuron.2010.03.032 | 0.317 | |||
2009 | Ganmor E, Okun M, Lampl I. The V1 population gains normalization. Neuron. 64: 778-80. PMID 20064384 DOI: 10.1016/J.Neuron.2009.12.015 | 0.317 | |||
2009 | Ganmor E, Segev R, Schneidman E. How fast can we learn maximum entropy models of neural populations? Journal of Physics: Conference Series. 197. DOI: 10.1088/1742-6596/197/1/012020 | 0.581 | |||
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