Figure - PMC

Skip to main content

An official website of the United States government

Here's how you know

Here's how you know

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you've safely connected to the .gov website. Share sensitive information only on official, secure websites.

View full-text article in PMC

. 2019 Feb 13;116(9):3837–3846. doi: 10.1073/pnas.1818524116

Search in PMC
Search in PubMed
View in NLM Catalog
Add to search

Published under the PNAS license.

PMC Copyright notice

Fig. 4. — Relationships of SIF and MIF eye-related sensitivities with recruitment threshold during spontaneous eye movements. (A) Plots of eye position sensitivity (k_s) versus threshold (Th) for 104 SIF (blue) and 51 MIF (red) motoneurons and for the whole population (SIF + MIF) of motoneurons (black line). Lines are the exponential regressions y = 2.587 + 7.642·e^0.114x (r = 0.671, P < 0.001), y = 2.302 + 8.838·e^0.235x (r = 0.660, P < 0.001), and y = 0.998 + 9.491·e^0.104x (r = 0.754, P < 0.001) for SIF, MIF, and all motoneurons, respectively. (B) Same as A, but for eye velocity sensitivity (r_s). A significant regression was obtained only when all of the motoneurons were grouped together (black line; y = 0.306 + 0.534·e^0.069x; r = 0.402, P < 0.001). (C) Exponential regressions between eye position (k_s) and eye velocity (r_s) sensitivities for 104 SIF (blue; y = 3.774·e^0.708; r = 0.498, P < 0.001), 51 MIF (red; y = 1.411·e^1.642x; r = 0.619, P < 0.001) and for the entire population of motoneurons (black line; y = 2.587·e^1.094x; r = 0.628, P < 0.001). (D) Scatterplot of k_s, r_s, and threshold for SIF (n = 104, blue dots) and MIF (n = 51, red dots) motoneurons.