| Session |
Description |
Assignment |
| 8/23-25 | Overview of the course and the Python ecosystem for
behavioral research Installation of PsychoPy standalone software (Windows 64-bit) with Python 3 |
Peirce Chap. 1 |
|
Introduction to PsychoPy Development |
PsychoPy Tech Manual [12 MB] |
|
| 8/30 | Using the Builder graphical interface to specify a simple experiment (Stroop paradigm) | Peirce Chap. 2 |
| 9/1 | Building a simple experiment using images as stimuli (Glasgow Face Matching Test) | Peirce Chap. 3 |
| 9/6 | Implementing visual stimulus presentations with video-frame accuracy and precision (Posner Cueing paradigm) | Peirce Chap.4 |
| 9/8 | Dynamic animation of stimulus size, location and color (as a function of Routine-level clock time) | Peirce Chap. 5 |
| 9/13 | Using GUI-based ratings scales and programmable response buttons ('Big 5' Personality Inventory) | Peirce Chap. 7 sliders.zip colorWheel.zip |
| 9/15 | Mouse-based input and selection (Visual search paradigm) | Peirce Chap. 9 |
| 9/20 | Block randomization and counter-balancing methods | Peirce Chap. 8 |
| Multimedia: Sound clips and movies | movie.zip sounds.zip | |
| 9/22 | Using Python code extensions to provide trial-by-trial response feedback | Peirce Chap. 6 |
|
Introduction to Python Programming |
Manual: A Byte
of Python [338 KB] |
|
| 9/29 | Exploring PsychoPy's Coder interface window and the Python3 IDLE interpreter | Video Intro to Python |
| 10/4 | Python 4 - Basics: Variables, data types, objects, and code blocking via indentation |
|
| 10/6 | Python 5 - Operations: Math operators, order of operations and logical operators |
|
| 10/11 | Python 6 - Control Flow If...elif blocks, while blocks and for...loops [with a preview of 'iterators'] |
Homework Assignment 1 |
| 10/13 | Python 7 - Functions Subroutines, input arguements and return values |
|
| 10/13 | Python 8 - Modules and Python 14 - Python Standard Library: Importing external functions/libraries that extend the Python language and functionality |
function_examples numpy_examples |
| ... | Python 9 - Data Structures: Lists, Tuples, Dictionaries and Sequences |
list_comprehensions |
| 10/18 | Python 12 - File Input/Output csv_writer csv_reader CSV Module Documentation pickling |
read_stroopConditions csv_read_stroopConditions stroopConditions.csv |
| Homework Assignment 2 | ||
| Python Instrumentation Interfacing | ||
| 10/27 | Digital I/O: Legacy parallel port (LPT:) interfacing |
parallel_test.py LPT Output Benchmark LPT Benchmark Data plot_lpt_output_latency.py LPT Benchmark Results |
| 11/1-11/8 | USB-based digital I/O (using the UM245R serial-to-parallel
interface)
trigger_circuit Benchmarks: usb-input-latency.py usb-output-latency.py input results output results Note: Copy UM245R.py to the C:\Program Files\PsychoPy\Lib\site-packages folder |
UM245R UM245R.py test_UM245R.py |
| 11/8 | USB-based legacy serial communications (COM1:) interface (reading the Minola CS100A colorimeter/photometer) | |
| 11/10 | TCP/IP communication between computers: UDP client-server and TCP client-server applications | UDP Data
Transfer Client UDP Data Transfer Server |
| 11/10 | Python analog data acquisition (Labjack ADC/DAC applications; electrophysiological data acquisition) | |
| Simple Python GUI example dialog.py | ||
|
Benchmarking Temporal Accuracy and Precision Using Microcontroller-based Systems |
||
| 11/15 | The problem: MS-Windows, macOS and Linux are NOT real-time
operating systems How microcontrollers solve the time management dilema. |
|
| 11/15 | Arduino Uno microconroller system and programming development environment (ATMega32U4) | Arduino Pro Micro |
| 11/17 | Developing and uploading Arduino programming | |
| Measuring the latency of parallel port and USB-based digital I/O lines | ||
| 11/29 | Measuring PsychoPy stimulus display timing using the Arduino
and a simple light-sensitive sensor Display Duration Python Display Duration Arduino |
Display Benchmark Setup Oscilloscope Timing Display Latency Python Display Latency Arduino |
| 12/1 | Characterizing the temporal latency of USB-based keyboard input (generalizable to USB mouse and joysticks) Circuit |
Keyboard Latency Python Keyboard Latency Arduino |
| 12/6 | Measuring the temporal latency of PsychoPy sound stimuli Benchmark Circuit | Sound Latency Python Sound Latency Arduino |
|
How to Read Putty
Benchmark Logs and Compute/Plot Results Arduino-to-Python Serial Data Transfer Demo How to Send a Serial Command Character from Python to Arduino Arduino Random Number Generation |
Notes
Companion website for PSYC770 can be found at
http://moundtop.com/psyc770/
The latest version of this syllabus is available at
http://moundtop.com/psyc770/psyc770-syllabus.html
Deliverables
Select
homework exercises will require completed work to be submitted to the
instructor.
Each student must develop a plan for an experimental project and
successfully implement PsychoPy/Python code that implements the project.
The proposal for this project must be approved by the instructor prior to
initiating work. Project proposals are due November 8, 2022. Final
projects are due by the last day of class.
Grading
50% Homework
Assignments; 50% Final Project
 |
Required Texts:
Peirce, J. & MacAskill, M. (2018). Building experiments in PsychoPy.
Thousand Oaks, CA: Sage Publishing.
Swaroop, C.H. (2005). A byte of Python.
|
