Official code base for MinD-Video
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Updated
Dec 7, 2023 - Python
Official code base for MinD-Video
[CVPR 2024 Highlight] Official PyTorch implementation of "MindBridge: A Cross-Subject Brain Decoding Framework"
Official code base for NeuroClips
Code and notebooks related to the paper: "Reconstructing Faces from fMRI Patterns using Deep Generative Neural Networks" by VanRullen & Reddy, 2019
FingerFlex: a new state of the art model for prediction finger movements from brain activity (ECoG).
Self-Supervised RGBD Reconstruction from Brain Activity
Official code base for ‘Lite-Mind : Towards Efficient and Robust Brain Representation Learning’
Application of Fully Connected Neural Networks (FCNs) & Graphical Convolutional Neural Networks (GCNs) using pytorch to fmri movie data
Python code for decoding EEG motor imagery conditions using a convolutional neural network.
Official PyTorch implementation of research papaer "Learning Interpretable Representations Leads to Semantically Faithful EEG-to-Text Generation".
This repostiry contains the code requires to train a SVM and LDA models to distinguish between perceived speech and silence from fNIRS signals.
Portfolio assignment for advanced cognitive neuroscience (F2023)
Decoding of fMRI signals of stimuli images into the captions
An accessible (I mean it!) tutorial to brain decoding. Covers both the prerequisite neuroscience and computer science tools for a simple brain decoding workflow.
NeuroCLI offers AI-driven command line tools to simplify your development tasks and improve efficiency. With features like natural language processing and seamless Git integration, it transforms your terminal experience into a smart assistant. 🐙💻
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