A Python Module for Creating Experiments, Tasks and Questionnaires.

Name	neuropsydia
Latest Version
Documentation
Discussion
Questions
Authors
Support	Windows 7, 8, 10

Installation

To get the latest stable version (1.0.6), run the following in the command prompt (might take a few minutes):

pip install https://github.com/neuropsychology/Neuropsydia.py/zipball/master

Not working? Check this out!

NOTE: We strongly recommend (for Windows users) the use of the WinPython bundle, that will allow you to have a ready-to-go scientific and portable Python setup.

To upgrade Neuropsydia, uninstall it and reinstall it :wink:.

pip uninstall neuropsydia

Contribute

• You need some help? You found a bug? You would like to request a new feature? Just open an issue :relaxed:
• Want to add yourself a feature? Correct a bug? You're more than welcome to contribute! Check this page to see how to submit your changes on github.

Citation

You can cite Neuropsydia with the following:

Makowski, D. & Dutriaux, L. (2016). Neuropsydia: A Python Module for Creating Experiments, Tasks and Questionnaires. 
Memory and Cognition Lab' Day, 01 November, Paris, France

Note: The authors do not give any warranty. If this software causes your keyboard to blow up, your brain to liquefy, your toilet to clog or a zombie plague to leak, the authors CANNOT IN ANY WAY be held responsible.

Tutorials, Examples and Documentation

• Tutorials
  • Getting Started
  • Create a Stroop Task
• Examples
  • State-Trait Anxiety Inventory (STAI-Y)
  • Digit Span
  • Go/No Go
  • Flanker
• API Documentation

Example

A Go/No-Go Task in 50 lines

Try this!

import neuropsydia as n  # Load neuropsydia
import random  # Import the random module
import pandas as pd  # To manipulate and save the data
import numpy as np  # To do some maths

n.start()  # Start neuropsydia
n.instructions("Goal: Hit SPACE whenever a GREEN circle appears. \nWhen it is RED, don't press anything.")  # Display instructions and break line with \n
n.newpage("grey")  # Fill the screen
n.countdown()  # Display countdown

# Initialize the data storage with a dictionary containing empty lists
data = {"Trial": [],
        "Stimulus": [],
        "ISI":[],
        "RT":[],
        "Response":[]}

for trial in range(5):  # Iterate over the number of trials
    stimulus = random.choice(["green", "red"])  # Select a stimulus type
    ISI = random.randrange(start=500, stop=2000, step=500)  # Select the inter-stimuli interval (ISI)

    n.newpage("grey")  # Fill the screen
    n.write("+")  # Fixation cross
    n.refresh()  # Diplay it on screen
    n.time.wait(ISI)  # Wait

    n.circle(size=2, fill_color=stimulus)  # Display the stimulus (filled with the color selected above)
    n.refresh()  # Diplay it on screen
    response, RT = n.response(time_max=1500)  # Wait until 1.5s and collect the response and its time

    # Categorize the response
    if response == "SPACE" and stimulus == "green":
        response_type = "HIT"  # Hit
    if response != "SPACE" and stimulus == "green":
        response_type = "MISS"  # Miss
    if response == "SPACE" and stimulus == "red":
        response_type = "FA"  # False Alarm
    if response != "SPACE" and stimulus == "red":
        response_type = "CR"  # Correct Rejection

    # Store data by appending each item to its list
    data["Trial"].append(trial)
    data["Stimulus"].append(stimulus)
    data["ISI"].append(ISI)
    data["RT"].append(RT)
    data["Response"].append(response_type)

# Data saving
df = pd.DataFrame.from_dict(data)  # Transform the data dictionary into a proper and savable dataframe
df.to_csv("data.csv")  # Save it

# Quick analysis
RTs = df.query('Response=="HIT"')["RT"]  # Select the Hits' RTs
print("Mean RT: " + str(round(RTs.mean(), 2)))   # Print the mean
print("SD RT: " + str(round(RTs.std(), 2)))  # Print the standard deviation
print("Number of False Alarms: " + str(len(df[df['Response']=="FA"])))  # Print the number of intrusions (false alarms)

n.close()  # Close neuropsydia

Features

Write, Ask and Display Images

• Easily write, display images and interact with the user.
• Detailed control over the timing and latency: preload images and display them exactly whenever you want.

import neuropsydia as n

n.start()

n.write("Welcome", style="title")
name = n.ask("What is your name?", y=5)
n.write("Ok, " + name + ", here is a super cool cat.", y=3)
n.image("cat.png", size=3, y=-3.5)
n.refresh()
n.time.wait(2000)

n.close()

Scales and Questionnaires

• Fully automated questionnaires.
• Powerful scale creation.

import neuropsydia as n

n.start()
n.newpage()

n.scale(title="Is Python great?",
        y=3.3,
        anchors=["", ""],
        style="blue",
        analog=False,
        edges=[1,5],
        labels=["not at all", "not really", "maybe", "quite", "totally"],
        labels_size=0.6
        )

n.scale(title="How is neuropsydia?",
        y=-3.3,
        line_length=12,
        edges=[0,100],
        anchors=["atrocious", "brilliant"],
        point_center=True,
        separation_labels=["Bad","Good"],
        style="purple",
        show_result=True,
        show_result_shape_line_color="blue"
        )

n.close()

Choices

• Easily display clickable choices, useful in case of recognition tasks or so.

import neuropsydia as n

n.start()

n.newpage()

response = n.choice(["Yes", "No"], y=5, title="Isn't it easy?")

response = n.choice(["Hell no", "Nope", "Dunno", "Sure"],
                    y=-5,
                    title="Am I better looking?",
                    height=-2,
                    boxes_edge_size=0,
                    boxes_background=["red", "amber", "teal", "blue"],
                    help_list=["means not at all", "means no", "means you don't know", "means yes"])

n.close()