Computational Cognitive Neuroscience textbook
An awesome repository & A comprehensive survey on interpretability of LLM attention heads.
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)
ScienceAgentBench: Toward Rigorous Assessment of Language Agents for Data-Driven Scientific Discovery
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
Visual Search in Natural Scenes benchmark
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.
This repository contains the collection of Cognitive Science computation modeling projects made for the DTU Human-Centered AI course 02458: Cognitive Modeling
A human-AI developed programming language for Neuromorphic Engineering
Paper and code for High-level cognition during story listening is reflected in high-order dynamic correlations in neural activity patterns
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）
Teaching materials for BayesCog workshop, UKE Hamburg (Part 2).
[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
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
Notes de cours pour PSY3018 - Méthodes en neurosciences cognitives
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