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It's not AI that takes away your job, but the people who master the use of AI tools. The most deadly attack is a dimension-reducing strike: destroying you has nothing to do with you - from "The Thr…
a tutorial about how to install and run fmriprep on ubuntu. fmriprep在ubuntu系统的安装和使用指南。
A lightweight Python library for reading & writing BrainVoyager file formats.
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX
生物信息学软件，资源和工具库的精选列表
Second Training Course on Neural Modeling and Programming. 第二届神经计算建模及编程培训班.
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
Papers from the intersection of deep learning and neuroscience
A curated collection of resources and research related to the geometry of representations in the brain, deep networks, and beyond
PSYCH5621 - Week15 - Slides (Fall23, The Ohio State University)
A handbook for EEG data analysis based on Python
A reconstruction framework for materializing subjective experiences from brain signals
ConvRNN Model Zoo: ImageNet pre-trained convolutional recurrent neural networks
BNUCNL / NOD-fmri
Forked from GongZhengxin/NOD-fmriProcessing Pipeline for Natural Object Dataset (NOD)
An adapted version of the Metamer Foveation Transform code from Deza et al. ICLR 2019
Introduction to Manifold Learning - Mathematical Theory and Applied Python Examples (Multidimensional Scaling, Isomap, Locally Linear Embedding, Spectral Embedding/Laplacian Eigenmaps)
A course organized by the Chen Institute for Neuroscience at Caltech on data analysis techniques in neuroscience
⏰ Collaboratively track deadlines of conferences recommended by CCF (Website, Python Cli, Wechat Applet) / If you find it useful, please star this project, thanks~
Simple implementation of OpenAI CLIP model in PyTorch.
[NeurIPS'19 Oral] CORnet: Modeling the Neural Mechanisms of Core Object Recognition
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
[CogSci 23'] Generate your neural signals from mine: individual-to-individual EEG converters
Package for extracting and mapping the results of every single tensor operation in a PyTorch model in one line of code.
ChatGPT 中文调教指南。各种场景使用指南。学习怎么让它听你的话。