Elad Ganmor
Affiliations: | Weizmann Institute of Science, Rehovot, Israel |
Google:
"Elad Ganmor"Mean distance: 14.36 (cluster 17) | S | N | B | C | P |
Parents
Sign in to add mentor| Elad Schneidman | grad student | Weizmann Institute | |
| Eero P. Simoncelli | post-doc | 2013-2015 | NYU |
BETA: Related publications
See more...
Publications
|
You can help our author matching system! If you notice any publications incorrectly attributed to this author, please sign in and mark matches as correct or incorrect. |
| Landy MS, Ganmor E, Simoncelli EP. (2016) Sub-optimal Integration of Orientation Across Saccades Journal of Vision. 16: 18 |
| Ganmor E, Landy MS, Simoncelli EP. (2015) Near-optimal integration of orientation information across saccades. Journal of Vision. 15: 8 |
| Ganmor E, Segev R, Schneidman E. (2015) A thesaurus for a neural population code. Elife. 4 |
| Ganmor E, Landy M, Simoncelli E. (2015) Near-optimal integration of orientation information across saccadic eye movements. Journal of Vision. 15: 1306 |
| Mohar B, Ganmor E, Lampl I. (2015) 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 |
| Ganmor E, Segev R, Schneidman E. (2011) 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 |
| Ganmor E, Segev R, Schneidman E. (2011) The architecture of functional interaction networks in the retina. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 31: 3044-54 |
| Ganmor E, Katz Y, Lampl I. (2010) Intensity-dependent adaptation of cortical and thalamic neurons is controlled by brainstem circuits of the sensory pathway. Neuron. 66: 273-86 |
| Ganmor E, Okun M, Lampl I. (2009) The V1 population gains normalization. Neuron. 64: 778-80 |
| Ganmor E, Segev R, Schneidman E. (2009) How fast can we learn maximum entropy models of neural populations? Journal of Physics: Conference Series. 197 |