#Stimulus duration framen psychopy movie
#Stimulus duration framen psychopy code

#Stimulus duration framen psychopy movie

Generate movie for display frame by frameĬompute the stimulus movie to be displayed by index. The centers of displayed probes are within the subregion.įunction to generate all the frames needed for SparseNoise stimulus If False, the displayed probes will exclude edge case and ensure that all If True, the displayed probes will cover the edge case and ensure that Number of times to present stimulus, defaults to 1 is_include_edge : bool, default True, `’OFF’ is selected only off (black) pixels are displayed in the noise iteration : int, optional Then 0.2 / 0.01666 gives you 12 which is the correct number of frames to get 0.2 seconds on a 60 Hz montior. Only on pixels (white) are displayed in the noise subregion while if So if your requested presentation time is 0.2 seconds and frame period is about 0.01666 (a frame duration for 60 Hz frame rate). ‘ON-Off’ so that both on and off pixels appear. (grey) coordinate : str, optionalĭetermines which pixels appear in the subregion, defaults to Presented, takes values in and defaults to 0. The indicator used during stimulus background : float, optionalīackground color of the monitor screen when stimulus is not being The monitor used to display stimulus in the experiment indicator : indicator object Stim ( monitor, indicator, background=0.0, coordinate='degree', pregap_dur=2.0, postgap_dur=3.0 ) ¶ Repetitive stimulation import def repite(frame,duration,numberStates2,start1): startPnumberStatesduration-start(numberStatesduration) counter(frame+. Class management features allow instructors to aggregate data from students and create summary tables. You might want to look at all the different components to see if they provide a more accurate timing procedure and maybe refer to that one.Stim ¶ class retinotopic_mapping.StimulusRoutines. The app includes 30+ experiments and visual illusions for you to try. If text.status = STARTED and t >= frameRemains: tAutoDraw(False) text.tEnd = tĮxp.addData(‘TextOnset’, text.tStart)exp.addData(‘TextOffset’, text.tEnd) So you know that the onset time is stored in can add the instruction to get the offset time: While continueRoutine and routineTimer.getTime() > 0: # get current time t = trialClock.getTime() frameN = frameN + 1 # number of completed frames (so 0 is the first frame) # update/draw components on each frame # text updates if t >= 0.0 and text.status = NOT_STARTED: # keep track of start time/frame for later text.tStart = t ameNStart = frameN # exact frame index tAutoDraw(True) frameRemains = 0.0 + 1.0- win.monitorFramePeriod * 0.75 # most of one frame period left if text.status = STARTED and t >= frameRemains: tAutoDraw(False) # check if all components have finished if not continueRoutine: # a component has requested a forced-end of Routine break continueRoutine = False # will revert to True if at least one component still running for thisComponent in trialComponents: if hasattr(thisComponent, “status”) and thisComponent.status != FINISHED: continueRoutine = True break # at least one component has not yet finished # check for quit (the Esc key) if endExpNow or event.getKeys(keyList=): core.quit() # refresh the screen if continueRoutine: # don’t flip if this routine is over or we’ll get a blank screen win.flip()

#Stimulus duration framen psychopy code

If you look at the python code that is generated out of the builder script, you get: So imagine that you want to record the onset and offset time of a text component which starts at the beginning of the routine and ends 1 second after.