Episode 1: Paradigm Presenter

Learn how to connect and synchronize Paradigm Presenter with g.Pype for experiment control. This episode demonstrates how to start paradigms and receive stimulus triggers in your processing pipelines.

Note

This page is still under development. Until we have the step-by-step instructions ready, please refer to the code example below.

Code

File example_paradigm_presenter.py – View file on GitHub

import os

import gpype as gp

parent_dir = os.path.dirname(os.path.abspath(__file__))
paradigm_root_folder = os.path.join(parent_dir, "paradigms")
fs = 250

if __name__ == "__main__":

    # main app
    app = gp.MainApp()

    # pipeline
    p = gp.Pipeline()

    # signal generator
    source = gp.Generator(
        sampling_rate=fs,
        channel_count=8,
        signal_frequency=10,
        signal_amplitude=10,
        signal_shape="sine",
        noise_amplitude=10,
    )

    # presenter trigger via UDP
    trigger = gp.UDPReceiver()

    # router
    router = gp.Router(input_channels=[gp.Router.ALL, gp.Router.ALL])

    # scope
    mk = gp.TimeSeriesScope.Markers
    markers = [
        mk(color="r", label="task 1", channel=8, value=1),
        mk(color="b", label="task 2", channel=8, value=2),
        mk(color="k", label="task 3", channel=8, value=3),
    ]
    scope = gp.TimeSeriesScope(
        amplitude_limit=30, time_window=10, markers=markers
    )

    # connect nodes
    p.connect(source, router["in1"])
    p.connect(trigger, router["in2"])
    p.connect(router, scope)

    # presenter
    presenter = gp.ParadigmPresenter(paradigm_root_folder)

    # add widgets
    app.add_widget(presenter)
    app.add_widget(scope)

    # start pipeline and main app
    p.start()
    app.run()
    p.stop()