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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 ==
	97	+== 1. TS Widget with matplotlib and mne ==
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99	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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102	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>
103	103	{{/html}}
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105		-
	105	+== 2. TS Widget with plotly ==
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107		-== 1. TS widget with matplotlib and mne ==
	107	+Starting with //**tvb-widgets version 1.5.0**//, we introduced a second TS Widget, which uses the **plotly.py** library to create the interactive plot. Below you can watch small tutorials on how to use and interact with this widget.
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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.
	109	+=== 2.1. Moving through the timeline and channels list ===