cognitive-science

Language, Knowledge, Cognition

Code and data used to create the examples in "Evidence-based Software Engineering based on the publicly available data"

probmods 2: electric boogaloo

ERPLAB Toolbox is a free, open-source Matlab package for analyzing ERP data. It is tightly integrated with EEGLAB Toolbox, extending EEGLAB’s capabilities to provide robust, industrial-strength tools for ERP processing, visualization, and analysis. A graphical user interface makes it easy for beginners to learn, and Matlab scripting provides enormous power for intermediate and advanced users.

Workshop on basic machine learning, computational modeling, psychophysics, basic data analysis and experiment design

Platform-independent lightweight Python library for designing and conducting timing-critical behavioural and neuroimaging experiments

❄️ 🐳 Awesome tools and libs for AI, Deep Learning, Machine Learning, Computer Vision, Data Science, Data Analytics and Cognitive Computing that are baked in the oven to be Native on Kubernetes and Docker with Python, R, Scala, Java, C#, Go, Julia, C++ etc

Modern port of Melanie Mitchell's and Douglas Hofstadter's Copycat

Computational Cognitive Science (计算认知科学). The content is under translation and reorganization.

A block modeling system for cognitive neuroscience

Brain decoding/encoding with neural network language models

CVPR 2022: Cross-Modal Perceptionist: Can Face Geometry be Gleaned from Voices?

认知计算神经联盟 讨论会

Go implementation of Leabra algorithm for biologically-based models of cognition, based on emergent framework (with Python interface)

Prolog puzzles for fun and profit (mostly fun)

Deep active inference agents using Monte-Carlo methods

A toy model of Friston's active inference in Tensorflow

Exercises, data, and more for our 2017 summer workshop (funded by the Estes Fund and in partnership with Project Jupyter and Berkeley's D-Lab)

XR (AR, VR & MR) Big Picture: Devices, Links, Development, Resources & Solutions

In which prediction agents organize themselves through competition.

Code for "Learning Inductive Biases with Simple Neural Networks" (Feinman & Lake, 2018).

Factorial Mass Univariate ERP Toolbox (FMUT)

Battery of standard cognitive psychology tasks

Formal Psychological Models of Categorization and Learning

Implementation of the Semantic Pointer Architecture for Nengo

A Python-based LIDA framework using ROS.

A deck of cards featuring Cognitive Biases

Deep neural network architecture for representing robot experiences in an episodic-like memory which facilitates encoding, recalling, and predicting action experience - Research Project at KIT's High Performance Humanoids Technologies Lab (H2T)

Code for Context based Approach for Second Language Acquisition