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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| 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 |
| 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 |
| Song Z, Juusola M. (2014) Refractory sampling links efficiency and costs of sensory encoding to stimulus statistics. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 34: 7216-37 |
| Song Z, Postma M, Billings SA, et al. (2012) Stochastic, adaptive sampling of information by microvilli in fly photoreceptors. Current Biology : Cb. 22: 1371-80 |
| Song Z, Coca D, Billings S, et al. (2009) Biophysical modeling of a Drosophila photoreceptor Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 5863: 57-71 |