IMAGE
Fig. 3
- ID
- ZDB-IMAGE-160727-9
- Publication
- Hong et al., 2016 - A Novel Long-term, Multi-Channel and Non-invasive Electrophysiology Platform for Zebrafish
- All Figures
- Figures for Hong et al., 2016
Image
|
Figure Caption
Fig. 3
Distinguishing epileptic artifacts in iZAP.
(a) Various electrophysiology modalities detectable in iZAP system. The current iZAP system can distinguish seizure-like EEG signals from (b) eye and (c) tail (i.e., electrooculography and electromyography). The corresponding videographs were taken as 30 frames per second.
Acknowledgments
This image is the copyrighted work of the attributed author or publisher, and
ZFIN has permission only to display this image to its users.
Additional permissions should be obtained from the applicable author or publisher of the image.
Full text @ Sci. Rep.