| Year |
Citation |
Score |
| 2022 |
Kemppainen J, Scales B, Razban Haghighi K, Takalo J, Mansour N, McManus J, Leko G, Saari P, Hurcomb J, Antohi A, Suuronen JP, Blanchard F, Hardie RC, Song Z, Hampton M, et al. Binocular mirror-symmetric microsaccadic sampling enables hyperacute 3D vision. Proceedings of the National Academy of Sciences of the United States of America. 119: e2109717119. PMID 35298337 DOI: 10.1073/pnas.2109717119 |
0.687 |
|
| 2021 |
Song Z, Zhou Y, Feng J, Juusola M. Multiscale 'whole-cell' models to study neural information processing - new insights from fly photoreceptor studies. Journal of Neuroscience Methods. 109156. PMID 33775669 DOI: 10.1016/j.jneumeth.2021.109156 |
0.647 |
|
| 2019 |
Li X, Abou Tayoun A, Song Z, Dau A, Rien D, Jaciuch D, Dongre S, Blanchard F, Nikolaev A, Zheng L, Bollepalli MK, Chu B, Hardie RC, Dolph PJ, Juusola M. 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. PMID 31350259 DOI: 10.1523/Jneurosci.3213-18.2019 |
0.653 |
|
| 2017 |
Juusola M, Dau A, Song Z, Solanki N, Rien D, Jaciuch D, Dongre SA, Blanchard F, de Polavieja GG, Hardie RC, Takalo J. Microsaccadic sampling of moving image information provides Drosophila hyperacute vision. Elife. 6. PMID 28870284 DOI: 10.7554/Elife.26117 |
0.674 |
|
| 2017 |
Song Z, Juusola M. Shining new light into the workings of photoreceptors and visual interneurons. The Journal of Physiology. 595: 5425-5426. PMID 28809044 DOI: 10.1113/Jp274464 |
0.641 |
|
| 2017 |
Song Z, Zhou Y, Juusola M. Modeling elucidates how refractory period can provide profound nonlinear gain control to graded potential neurons. Physiological Reports. 5. PMID 28596301 DOI: 10.14814/Phy2.13306 |
0.665 |
|
| 2017 |
Song Z, Juusola M. A biomimetic fly photoreceptor model elucidates how stochastic adaptive quantal sampling provides a large dynamic range. The Journal of Physiology. PMID 28369994 DOI: 10.1113/Jp273614 |
0.704 |
|
| 2017 |
Juusola M, Song Z. How a fly photoreceptor samples light information in time. The Journal of Physiology. PMID 28233315 DOI: 10.1113/Jp273645 |
0.717 |
|
| 2017 |
Juusola M, Dau A, Song Z, Solanki N, Rien D, Jaciuch D, Dongre SA, Blanchard F, Polavieja GGd, Hardie RC, Takalo J. Author response: Microsaccadic sampling of moving image information provides Drosophila hyperacute vision Elife. DOI: 10.7554/Elife.26117.099 |
0.674 |
|
| 2016 |
Song Z, Zhou Y, Juusola M. Random Photon Absorption Model Elucidates How Early Gain Control in Fly Photoreceptors Arises from Quantal Sampling. Frontiers in Computational Neuroscience. 10: 61. PMID 27445779 DOI: 10.3389/Fncom.2016.00061 |
0.647 |
|
| 2015 |
Song Z, Banks RW, Bewick GS. Modelling the mechanoreceptor's dynamic behaviour. Journal of Anatomy. 227: 243-54. PMID 26110655 DOI: 10.1111/Joa.12328 |
0.333 |
|
| 2015 |
Song Z, Zhou Y, Juusola M. Predictable implications of random photon absorption for photoreceptors' gain control Bmc Neuroscience. 16. DOI: 10.1186/1471-2202-16-S1-P112 |
0.632 |
|
| 2014 |
Song Z, Juusola M. 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. PMID 24849356 DOI: 10.1523/Jneurosci.4463-13.2014 |
0.714 |
|
| 2012 |
Song Z, Postma M, Billings SA, Coca D, Hardie RC, Juusola M. Stochastic, adaptive sampling of information by microvilli in fly photoreceptors. Current Biology : Cb. 22: 1371-80. PMID 22704990 DOI: 10.1016/J.Cub.2012.05.047 |
0.702 |
|
| 2011 |
Song Z, Postma M, Chen W, Coca D, Billings S, Hardie RC, Juusola M, De Schutter E. Does calcium diffusional global feedback leads to slow light adaptation in Drosophila photoreceptors? - A 3D biophysical modelling approach Bmc Neuroscience. 12. DOI: 10.1186/1471-2202-12-S1-P56 |
0.657 |
|
| 2009 |
Song Z, Coca D, Billings S, Postma M, Hardie RC, Juusola M. 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. DOI: 10.1007/978-3-642-10677-4_7 |
0.583 |
|
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