Research output per year
Research output per year
Research output
Search results
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2020
Deep Learning embedding layers for better prediction of atomic forces in solids
Niv, S., Gordon, G. & Natan, A., Mar 2020, In: Bulletin of the American Physical Society. 65, 1, 1 p.Research output: Contribution to journal › Meeting Abstract › peer-review
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2019
A direct and local deep learning model for atomic forces in solids
Kuritz, N., Gordon, G. & Natan, A., Mar 2019, In: Bulletin of the American Physical Society. 64, 2, 1 p.Research output: Contribution to journal › Meeting Abstract › peer-review
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2014
Computerized sampling and analysis of early neuromotor development of premature infants
Friedman, H., Bar-Yosef, O., Gordon, G., Forkosh, O. & Schneidman, E., 2014, In: Journal of Molecular Neuroscience. 53, S1, p. S48-S48Research output: Contribution to journal › Meeting Abstract › peer-review
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High resolution analysis of sniffing-whisking patterns during object-approach in autism-related mouse models
Barak, N., Deutsch, D., Shapiro, A., Gordon, G., Assa, E., Oram, T., Yizhar, O., Ahissar, E. & Kimchi, T., 2014, In: Journal of Molecular Neuroscience. 53, S1, p. S11-S11 1 p.Research output: Contribution to journal › Meeting Abstract › peer-review
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2012
Analysis of fMRI scenarios using live sequence charts
Gordon, M., Gordon, G. & Harel, D., 1 Nov 2012, In: Journal of Molecular Neuroscience. 48, S1, p. S44Research output: Contribution to journal › Meeting Abstract › peer-review
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Exploring exploration using a hierarchical curiosity model and novelty management principles
Gordon, G., Fonio, E. & Ahissar, E., 1 Nov 2012, In: Journal of Molecular Neuroscience. 48, S1, p. S43-S44Research output: Contribution to journal › Meeting Abstract › peer-review