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...	...	@@ -94,16 +94,7 @@
94	94
95	95	After running the code from above into a Jupyter cell, you should see the TS widget corresponding to the backend you selected.
96	96
97		-== 1. TS widget with matplotlib and mne ==
98	98
99		-As it was already mentioned, the matplotlib widget offers more advanced scientifical fearures. In the video below, you can see some of the functionalities that this backend provides, like: increasing/decreasing signal amplitude, selecting/deselecting certain signals, selecting different dimensions (state variable/mode) from the input data, navigating through the timeline, etc.
100		-
101	101	{{html}}
102		-<iframe width="840" height="480" src="https://www.youtube.com/embed/hozEkVhkWeA" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" allowfullscreen></iframe>
	99	+<iframe width="840" height="480" src="https://www.youtube.com/embed/VmueiXMxbVk" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" allowfullscreen></iframe>
103	103	{{/html}}
104		-
105		-
106		-
107		-== 1. TS widget with matplotlib and mne ==
108		-
109		-As it was already mentioned, the matplotlib widget offers more advanced scientifical fearures. In the video below, you can see some of the functionalities that this backend provides, like increasing/decreasing signal amplitude, selecting/deselecting certain signals, selecting different dimensions (state variable/mode) from the input data, navigating through the timeline, etc.