File:Synaptic-Size-Dynamics-as-an-Effectively-Stochastic-Process-pcbi.1003846.s006.ogv
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Synaptic-Size-Dynamics-as-an-Effectively-Stochastic-Process-pcbi.1003846.s006.ogv (Ogg Theora video file, length 2.5 s, 496 × 448 pixels, 1.95 Mbps, file size: 589 KB)
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[edit]DescriptionSynaptic-Size-Dynamics-as-an-Effectively-Stochastic-Process-pcbi.1003846.s006.ogv |
English: Evolution of slopes and intercepts in experimental data. Changes in the slope, intercept and goodness of fit (R-square) over a period of 24 hours (48 time steps) when the size of each synapse is compared to its size at time step 1. Note the gradual decrease in the slope, the gradual increase in the intercept value, and the gradual reduction in R-square values. Note the tendency of small synapses to grow larger, the tendency of large synapses to grow smaller, and the apparent rotation of the regression line around an imaginary pivot point at x = 1. Same data as in Fig. 4. |
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Source | Video S1 from Statman A, Kaufman M, Minerbi A, Ziv N, Brenner N (2014). "Synaptic Size Dynamics as an Effectively Stochastic Process". PLOS Computational Biology. DOI:10.1371/journal.pcbi.1003846. PMID 25275505. PMC: 4183425. | ||
Author | Statman A, Kaufman M, Minerbi A, Ziv N, Brenner N | ||
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This file is licensed under the Creative Commons Attribution 4.0 International license.
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Date/Time | Thumbnail | Dimensions | User | Comment | |
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current | 10:15, 9 October 2014 | 2.5 s, 496 × 448 (589 KB) | Open Access Media Importer Bot (talk | contribs) | Automatically uploaded media file from Open Access source. Please report problems or suggestions here. |
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Author | Statman A, Kaufman M, Minerbi A, Ziv N, Brenner N |
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Usage terms | http://creativecommons.org/licenses/by/4.0/ |
Image title | Evolution of slopes and intercepts in experimental data. Changes in the slope, intercept and goodness of fit (R-square) over a period of 24 hours (48 time steps) when the size of each synapse is compared to its size at time step 1. Note the gradual decrease in the slope, the gradual increase in the intercept value, and the gradual reduction in R-square values. Note the tendency of small synapses to grow larger, the tendency of large synapses to grow smaller, and the apparent rotation of the regression line around an imaginary pivot point at x |
Software used | Xiph.Org libtheora 1.1 20090822 (Thusnelda) |
Date and time of digitizing | 2014-10 |