Please do not discuss the demos in this thread or create more than one post unless you have a large number of demos to share, in which case please use separate posts for separate categories. Ideally set your demos so they can be tested without consuming a credit (if you don’t have a site license) by adding a final routine that can’t end, disabling save incomplete results and adding a small number of credits. If you have routines or experiments that are likely to be useful to others, please create a post in this thread, editing your post to add new demos so there is one post per creator. format ( file_name )) sound_1 = MockSound () # And the same for our Keyboard component, `key_resp_2`: class MockKeyboard : pass key_resp_2 = MockKeyboard () # Finally, let's also seed the random module to have a consistent output across different runs random.
Psychopy online code#
information about the current iteration of the loop # So let's quickly fake this, in this example, such that the code can be executed without errors # In PsychoPy this would be a `` () class MockTrials : def addResponse ( self, response ): print ( "Registering that this trial was '". # 'filename' variable is also set by PsychoPy and contains base file name of saved log/output files filename = "data/participant_staircase_23032017" # PsychoPy also create a Trials object, containing e.g. We use this to set up the Python environment, importing modules and initializing variables, and defining constants: The code in this tab is executed only once, at the start of the experiment. The Code components has different tabs, that allow us to insert custom code at different points during the execution of our trial.įirst, there is the Begin Experiment tab.
This component will allow us to write Python code that interacts with the rest of the components and with the adaptive staircase loop.
Psychopy online full#
The full PsychoPy experiment which can be opened in the Builder can be downloaded here: adaptive_listening.psyexpįinally, to customize the behavior of the trial routine and to be able to use Parselmouth inside the PsychoPy experiment, we still add a Code component to the routine. We also insert a loop around this routine of the type staircase, such that PsychoPy will take care of the actual implementation of the loop in adaptive staircase design. In this Builder, a user can create multiple experimental ‘routines’ out of different ‘components’ and combine them through ‘loops’, that can all be configuredįor our simple example, we create a single routine trial, with a Sound, a Keyboard, and a Text component. However, PsychoPy also features a so-called Builder interface, which is a graphical interface to set up experiments with minimal or no coding. Stimulus was “bat” or “bet”, the noise level is then either increased or decreased.Īs Parselmouth is just another Python library, using it from the PsychoPy Coder interface or from a standard Python script that imports the psychopy module is quite straightforward. Depending on whether the participant correctly identifies whether the noisy At every iteration of the experiment, we want to generate a version of these audio files with a specific signal-to-noise ratio, of course using Parselmouth to do so.
In this example, we use an adaptive staircase experiment to determine the minimal amount of noise that makes the participant unable to distinguish between two audio fragments, “bat” and “bet” ( bat.wav, bet.wav). Attention, Perception, & Psychophysics, 63, 1377–1388., or the PsychoPy tutorial at. Adaptive threshold estimation with unforced-choice tasks. The following example shows how easily Python code that uses Parselmouth can be injected in such an experiment following an adaptive staircase experimental design, atĮach trial of the experiment a new stimulus is generated based on the responses of the participant.
Parselmouth also allows Praat functionality to be included in an interactive PsychoPy experiment (refer to the subsection on installing Parselmouth for PsychoPy for detailed installation instructions for the PsychoPy graphical interface, the PsychoPy Builder). An online, interactive version of this example is available at Binder: PsychoPy experiments ¶
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