NGC-Learn: Computational Neuroscience Simulation and NeuroAI Design in Python

Simulating embodied sensorimotor control with NeuroMechFly v2

A reservoir computing toolbox for neuroscientists

Website of the BrainHack School

List of summer schools to study brain-computer interfaces, neurotechnology & related fields worldwide

A curated collection of resources and research on vision neuroscience 👁️ 🧠

A Computational Substrate for Self-Organizing Biologically-Plausible AI

Movie-trained transformer reveals novel response properties to dynamic stimuli in mouse visual cortex

[NeurIPS 2024] 🥉 ViV1T submission in the Sensorium 2023 challenge

[Neuron 2024] Analysis of Baoding ball policy from MyoChallenge at NeurIPS 2022

Tools for model-brain and animal-to-animal brain comparisons (NeuroAI Turing Tests)

Code for our NeuroAI tactile paper

Active inference sensorimotor simulations: artificial life built from PAULA neurons, biological connectomes (C. elegans), and MuJoCo physics

Replicate brain modules' computations with Artificial Neural Networks

NeuroAI Tutorials for the 2026 AIMS AI for Science Masters

EEG-based brain signal classification using classical machine learning with feature engineering and comparative model evaluation for BCI and NeuroAI research.

Does human brain structure produce emergent functional organization? Miniature brain simulation with identical parameters everywhere — regions develop distinct roles purely from connectome topology.

graphs of a biological neuron's activity (LIF) and a perceptron's activity in Python

Tools to generate stimuli from classical Psychology experiments in vision.

Research-oriented implementation of structured group-based sparse connectivity (G2GNet) in Spiking and Convolutional Neural Networks at ICS-FORTH, enabling both static and dynamic sparse training and evaluation on benchmark datasets including Fashion-MNIST, CIFAR-10, and CIFAR-100.