The lab streaming layer for synchronized multimodal recording

Accurately recording the interactions of humans or other organisms with their environment and other agents requires synchronized data access via multiple instruments, often running independently using different clocks. Active, hardware-mediated solutions are often infeasible or prohibitively costly to build and run across arbitrary collections of input systems. The Lab Streaming Layer (LSL) framework offers a software-based approach to synchronizing data streams based on per-sample time stamps and time synchronization across a common local area network (LAN). Built from the ground up for neurophysiological applications and designed for reliability, LSL offers zero-configuration functionality and accounts for…

• UO
  University of California, San Diego
• NI
  National Institute of Neurological Disorders and Stroke

  Award: R01NS047293
• AR
  Army Research Laboratory

  Awards: W911NF-10-2-0022, W911NF