Contextual Dynamics Laboratory

Contextual Dynamics Laboratory's repositories

hypertools

A Python toolbox for gaining geometric insights into high-dimensional data

Language:PythonMIT1874 56 198

human-memory

Course materials for Dartmouth course: Human Memory (PSYC 51.09)

Language:TeXMIT263 80

storytelling-with-data

Course materials for Dartmouth Course: Storytelling with Data (PSYC 81.09).

Language:Jupyter NotebookMIT112 7 18

cs-for-psych

Course materials for PSYC 132: Introduction to Programming for Psychological Scientists

Language:Jupyter NotebookMIT91 5 1

Short undergraduate course taught at University of Pennsylvania on computational and theoretical neuroscience. Provides an introduction to programming in MATLAB, single-neuron models, ion channel models, basic neural networks, and neural decoding.

Language:TeXMIT49 2 3

timecorr

Estimate dynamic high-order correlations in multivariate timeseries data

Language:PythonMIT40 7 80

experimental-psychology

Course materials for PSYC 11: Laboratory in Psychological Science, Dartmouth College (Instructor: Jeremy Manning)

Language:ShellMIT37 30

davos

Import packages in Python, even if they aren't installed!

Language:TeXMIT36 2 48

chatify

Add ipython magic commands to Jupyter notebooks that provide LLM-driven enhancements

Language:PythonMIT22 7 16

quail

A python toolbox for analyzing and plotting free recall data

Language:PythonMIT22 6 96

lab-manual

Lab manual for the Contextual Dynamics Laboratory at Dartmouth College

Language:TeXMIT20 6 59

memory-models-course

Dartmouth graduate course (PSYC 133) on computational memory models

Language:HTMLMIT13 1 1

attention-memory-task

An experiment used to explore interactions between covert attention and recognition memory

Language:Jupyter NotebookNOASSERTION12 4 80

brainfit-paper

Paper, code, and data related to the paper "Fitness tracking reveals task-specific associations between memory, mental health, and exercise" by Jeremy R. Manning, Gina M. Notaro, Esme Chen, and Paxton C. Fitzpatrick

Language:Jupyter NotebookMIT11 30

CDL-bibliography

Bibtex file shared by the Contextual Dynamics Lab at Dartmouth College

Language:TeXMIT7 7 10

efficient-learning-khan

Experiment, data, and analysis code for "Text embedding models yield high-resolution insights into conceptual knowledge from short multiple-choice quizzes" by Paxton C. Fitzpatrick, Andrew C. Heusser, and Jeremy R. Manning

Language:PythonMIT7 5 39