Computational Cognitive Neuroscience, Fourth Edition

Biologically based neural network simulations of the brain written in Go with a 3D GUI powered by Cogent Core.

simulations for the Computational Cognitive Neuroscience textbook

An Awesome List of Cognitive Science Resources

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

Multi-voxel pattern analyses methods based on ML & DL to decode the category of visual stimuli viewed by a human subject based on their recorded brain activity in fMRI form

A complete Python framework to perform real-time fMRI decoded neurofeedback experiments

Neural drift-diffusion model (NDDM) is a repository to integrate simultaneously both single-trial EEG measures and behavioral performance (response time and accuracy) to understand cognition.

Visual Search in Natural Scenes benchmark

Paper and code for High-level cognition during story listening is reflected in high-order dynamic correlations in neural activity patterns

Analyze brain surface/volume (gifti, cifti, nifti) in R and extract networks

Original C++ version of emergent: originally hosted under svn at https://grey.colorado.edu/svn/emergent

This repository contains the collection of Cognitive Science computation modeling projects made for the DTU Human-Centered AI course 02458: Cognitive Modeling

Notes de cours pour PSY3018 - Méthodes en neurosciences cognitives

[eLife 2020] "Comprehension of computer code relies primarily on domain-general executive brain regions" by Anna A. Ivanova, Shashank Srikant, Yotaro Sueoka, Hope H. Kean, Riva Dhamala, Una-May O'Reilly, Marina U. Bers, Evelina Fedorenko

Teaching materials for BayesCog workshop, UKE Hamburg (Part 2).

脑电波：视觉感受区电位信号(LFP)与视觉刺激之间关系研究（盲信号处理）

[NeurIPS 2022] "Convergent Representations of Computer Programs in Human and Artificial Neural Networks" by Shashank Srikant*, Benjamin Lipkin*, Anna A. Ivanova, Evelina Fedorenko, Una-May O'Reilly.

Open-source neurocognitive test battery written in Python

Example code accompanying the sternberg concept cell data release for Kyzar et al. (2024)