better

paper/paper.bib

@@ -29,7 +29,7 @@ @article{harris2020array
 }
 
 @misc{LSL,
-  author       = {labstreaminglayer},
+  author       = {LSL},
   title        = {LSL is an open-source networked middleware ecosystem to stream, receive, synchronize, and record neural, physiological, and behavioral data streams acquired from diverse sensor hardware. },
   howpublished = {\url{https://labstreaminglayer.org}},
   note         = {Accessed: 2024-08-08}

paper/paper.md

@@ -52,7 +52,7 @@ A critical challenge in real-time applications is the need for direct access to
 streams from measurement devices, which often rely on device-specific APIs. Adapting a
 real-time application from one device to another can be labor-intensive, as it requires
 modifications to the entire communication protocol. To address this issue, the Lab
-Streaming Layer (LSL) [@LSL] offers a standardized protocol for streaming time-series
+Streaming Layer [@LSL] offers a standardized protocol for streaming time-series
 data from multiple devices in real-time. LSL has gained significant popularity,
 particularly among EEG manufacturers, many of whom now provide LSL streaming
 capabilities out-of-the-box with their devices. By abstracting the complexities of