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--- courses:psaw:lab_impl [2024/03/05 08:37] – [Prepare for the lab] kkt
+++ courses:psaw:lab_impl [2025/05/05 16:02] (current) – [Materials] kkt
@@ Line 9: / Line 9: @@
     * Note: Do you know that there is a dedicated folder on OneDrive with materials that are not publicly available online? Check the [[start#schedule]] section on main course page.
+  * If you are working on your own computer, install [[https://www.psychopy.org/download.html|the latest version of PsychoPy]] before class.
 ==== Materials ====
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       - [[https://github.com/labstreaminglayer/App-LabRecorder|App-LabRecorder]] is an application that records the data streams available in the local network. Simply run the LabRecorder. You should see exactly one stream, called ''BioSemi'' -- it is provided by the ''SendData.py'' example.
     - Now it's time to work on your own: add LSL handling to the procedure in PsychoPy.
-      - Note 1: You can use the [[https://github.com/labstreaminglayer/liblsl-Python/blob/master/pylsl/examples/SendData.py|SendData.py]] code as an inspiration.
+      - Note 1: You can use the [[https://github.com/labstreaminglayer/pylsl/blob/main/src/pylsl/examples/SendData.py|SendData.py]] code as an inspiration.
       - Note 2: The use of the LSL consists of two steps. At the beginning (once, before starting the procedure), the appropriate data stream must be prepared using the ''StreamInfo'' and ''StreamOutlet'' classes. Then, in the actual loop handling the stimuli, we send consecutive samples to the stream using the ''push_sample()'' function.
       - As a result, the stream you created should appear in LabRecorder.