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95	95	After running the code from above into a Jupyter cell, you should see the TS widget corresponding to the backend you selected.
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	97	+== 1. TS widget with matplotlib and mne ==
	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.
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97	97	{{html}}
98		-<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>
	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	99	{{/html}}
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	105	+
	106	+
101	101	== 1. TS widget with matplotlib and mne ==
102	102
103	103	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.