Date started: April 2014 Date ended: ACTIVE

Analyze the responses of experimental subjects in a vision science experiment.

This project analyzes the timing of perceptual alternations in response to a bi-stable visual stimulus. Perceptual alternations may be recorded via mouse button presses (right/left or a/b) or via an eye tracking device (Tobii x120).

Currently, the function analyzeAlternations.py will (1) get data, and (2) generate a button press time series (list of mouse states as a function of time with a fixed dt).

(3) summarize and visualize the time series pre-clean-up, (4) clean-up overlaps (not yet gaps) in button presses, (5) summarize and visualize time series post-clean-up, (6) compare the button press and eye tracking time series data.

python analyzeAlternations.py

datafile.txt

Currently no output; only a figure that plots the button press time series

• selectData_lib.py -

  • Functions:
    • select_data() - This function imports the .txt raw data file. Called by analyzeAlternations
    • find_nearest_above() - Called by DataStruct()
  • Class:
    • *DataStruct() - Called by analyzeAlternations

• timeSeries_lib.py -

  • Functions:
    • genTimeSeries - raw data is in the format of a column of mouse press/release events and needs to be converted to an evenly sampled time series format. Called by analyzeAlternations
    • getPressIndices - the time series vector needs to be labeled with the corresponding button press events. Events are labeled for each frame with a 1 if the button was pressed or 0 if a button was not pressed (press A = column 2; press B = column 3). This function finds the times when a button was pressed (pressOn) and released (pressOff) and returns the index of the nearest frame at 120Hz. Called by genTimeSeries.