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 👁️ 🧠

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

A Computational Substrate for Self-Organizing Biologically-Plausible AI

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

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

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

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

Code for our NeuroAI tactile paper

Replicate brain modules' computations with Artificial Neural Networks

NeuroAI Tutorials for the 2026 AIMS AI for Science Masters

Transformer + Dice loss framework for bidirectional neural-domain transfer between unpaired in vitro and in vivo multineuronal spike trains.

Official code release for the paper Brain2VLM: Hierarchical Alignment Between Cortical Representations and Vision-Language Latent Spaces

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

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

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.