pabloinsente/nn-mod-cog
Introduction to canonical neural network models of cognition
This project helps students and researchers in cognitive science understand how classic neural network models are used to explain human cognition. It provides historical context, mathematical explanations, and Python code examples for models like the Perceptron and Multilayer Perceptron. The user goes from theoretical concepts to practical, runnable examples.
No commits in the last 6 months.
Use this if you are a beginner to intermediate student or researcher in cognitive science looking to learn and apply foundational neural network models to explain cognitive processes.
Not ideal if you are looking for advanced or cutting-edge neural network architectures for machine learning applications, rather than cognitive modeling.
Stars
19
Forks
5
Language
JavaScript
License
MIT
Category
Last pushed
Dec 12, 2022
Commits (30d)
0
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