Data and code for Shen, Horikawa, Majima, and Kamitani (2019) Deep image reconstruction from human brain activity. PLoS Comput. Biol. http://dx.doi.org/10.1371/journal.pcbi.1006633.

Computer Vision library for human-computer interaction. It implements Head Pose and Gaze Direction Estimation Using Convolutional Neural Networks, Skin Detection through Backprojection, Motion Dete…

SalGAN implementation with pytorch trained on [DHF1K, LEDOV, SALICON] using [BCE, Adversarial] loss.

Utilities to use HCP and HCP-like data with nilearn and other Python tools

Meta-Learning an In-Context Transformer Model of Human Higher Visual Cortex (NeurIPS 2025)

This repository hosts public protocols for the IBC project.

The largest open-source medical AI skills library for OpenClaw🦞.

An AI-powered, end-to-end research assistant for neuroscientists — from literature discovery to computational simulation and interactive visualization.

AI-Powered Bioinformatics Research Assistant. Built on OpenClaw.

All versions of all skills that are on clawhub.com archived

Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞

🌱 a fast, batteries-included static-site generator that transforms Markdown content into fully functional websites

PyTorch code and models for VJEPA2 self-supervised learning from video.

Package for using SRM (NIPS 2015)

Shared Response Model (SRM) of NIPS 2015

Connectivity-based shared response model

Standalone implementation of FastSRM

The implement of "Brain-Inspired Exploration of Functional Networks and Key Neurons in Large Language Models", "Pruning Large Language Models by Identifying and Preserving Functional Networks" and …

Processing pipelines for the HCP

lol algorithms

SpotX Mac and Linux adblocker for the Spotify desktop client, in Bash

This toolbox includes MATLAB scripts to perform a "spin test" of anatomical correspondence between cortical surface maps, as presented in "On testing for spatial correspondence between maps of huma…

Preprocessing of arterial spin labeling (ASL) data

Latex template for the MIDL Conference

Machine learning glossary

Your Cheat Sheet for Machine Learning Interview – Questions and Answers.