Docs: small fixups to top-level README.md

- was saying that the "most common use case is to stream recorded data and then record it"
- fixed dead link to Support section (now Getting Help)
- fixed link to Tutorials to point at first tutorial (was pointing to a redirect page)
- generalized wording about using stim presentation software a little bit (not every LSL user is using stim presentation SW)

README.rst

@@ -10,19 +10,19 @@ The most up-to-date version of this document can always be found in the
 `online documentation <https://labstreaminglayer.readthedocs.io/info/getting_started.html>`_.
 
 The most common way to use LSL is to use one or more applications with integrated LSL functionality
-to stream recorded data to the local network and record the data alongside event markers from
-your stimulus presentation package with the LabRecorder.
+to stream data over the local network and record the data alongside any event markers (e.g., from
+your stimulus presentation package) with the LabRecorder.
 
 * Take a look at the list of
   `supported devices <https://labstreaminglayer.readthedocs.io/info/supported_devices.html>`_
   and follow the instructions to start streaming data from your device.
-  If your device is not in the list then see the Support_ section below.
+  If your device is not in the list then see the `Getting Help <https://github.com/sccn/labstreaminglayer#getting-help>`_ section below.
 * Download `LabRecorder <https://github.com/labstreaminglayer/App-LabRecorder>`_
   from its `release page <https://github.com/labstreaminglayer/App-LabRecorder/releases>`_.
   (Note that LabRecorder saves data to
   `Extensible Data Format (xdf) <https://github.com/sccn/xdf>`_
   which has its own set of tools for loading data after finishing recording.)
-* Go through the Tutorials, currently residing in the `Wiki <https://github.com/sccn/labstreaminglayer/wiki>`_.
+* Go through the `Tutorials <https://github.com/sccn/labstreaminglayer/wiki/Tutorial-1.-Getting-started-with-LSL-single-stream>`_.
 * Use LSL from your scientific computing environment. LSL has many language interfaces,
   including Python and Matlab.