Zhuoyi Song
Affiliations: | University of Sheffield, Sheffield, England, United Kingdom |
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"Zhuoyi Song"Mean distance: 17.18 (cluster 11) | S | N | B | C | P |
Parents
Sign in to add mentor| Mikko Juusola | grad student | 2007-2019 | University of Sheffield | |
| (and post-doc) | ||||
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Publications
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| Kemppainen J, Scales B, Razban Haghighi K, et al. (2022) Binocular mirror-symmetric microsaccadic sampling enables hyperacute 3D vision. Proceedings of the National Academy of Sciences of the United States of America. 119: e2109717119 |
| Song Z, Zhou Y, Feng J, et al. (2021) Multiscale 'whole-cell' models to study neural information processing - new insights from fly photoreceptor studies. Journal of Neuroscience Methods. 109156 |
| Li X, Abou Tayoun A, Song Z, et al. (2019) Ca-activated K channels reduce network excitability, improving adaptability and energetics for transmitting and perceiving sensory information. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience |
| Juusola M, Dau A, Song Z, et al. (2017) Microsaccadic sampling of moving image information provides Drosophila hyperacute vision. Elife. 6 |
| Song Z, Juusola M. (2017) Shining new light into the workings of photoreceptors and visual interneurons. The Journal of Physiology. 595: 5425-5426 |
| Song Z, Zhou Y, Juusola M. (2017) Modeling elucidates how refractory period can provide profound nonlinear gain control to graded potential neurons. Physiological Reports. 5 |
| Song Z, Juusola M. (2017) A biomimetic fly photoreceptor model elucidates how stochastic adaptive quantal sampling provides a large dynamic range. The Journal of Physiology |
| Juusola M, Song Z. (2017) How a fly photoreceptor samples light information in time. The Journal of Physiology |
| Juusola M, Dau A, Song Z, et al. (2017) Author response: Microsaccadic sampling of moving image information provides Drosophila hyperacute vision Elife |
| Song Z, Zhou Y, Juusola M. (2016) Random Photon Absorption Model Elucidates How Early Gain Control in Fly Photoreceptors Arises from Quantal Sampling. Frontiers in Computational Neuroscience. 10: 61 |