Simulations for the Computational Cognitive Neuroscience textbook
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Updated
Oct 16, 2024 - Go
Simulations for the Computational Cognitive Neuroscience textbook
Website for the Neuroinformatics and Brain Connectivity Lab at FIU
Computational Cognitive Neuroscience textbook
Biologically based neural network simulations of the brain written in Go with a 3D GUI powered by Cogent Core.
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
Notes de cours pour PSY3018 - Méthodes en neurosciences cognitives
An Awesome List of Cognitive Science Resources
Teaching materials for BayesCog workshop, UKE Hamburg (Part 2).
Connectivity-based Psychometric Prediction (CBPP)
NeuroFlex is an AI platform for flexible and scalable neurnetwork & neuroscience training and optimization, supporting advanced model development and deployment.
[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
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.
An awesome repository & A comprehensive survey on interpretability of LLM attention heads.
Wiki for FIU cognitive neuroscience.
System segregation (see Chan et al. 2014 PNAS) and RSFC brain network tools
Paper and code for High-level cognition during story listening is reflected in high-order dynamic correlations in neural activity patterns
Open-source neurocognitive test battery written in Python
Analyze brain surface/volume (gifti, cifti, nifti) in R and extract networks
Official code repository for NeurIPS 2021 paper "Visual Search Asymmetry: Deep Nets and Humans Share Similar Inherent Biases"
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