NeuroAI Repositories: Biological and Artificial Neural Networks, Deep Learning and Brain Models

This dataset provides a curated and structured inventory of the main repositories, databases, simulation frameworks, toolkits, and research projects at the intersection of computational neuroscience and artificial intelligence (Neuro-AI). It covers resources that relate biological neural networks with artificial neural networks, deep learning architectures, brain models, and neural representations.

The dataset includes 18 entries compiled from Perplexity AI (February 2026), organized into the following categories: model repositories, evaluation benchmarks, neuromorphic datasets, brain atlases, data portals, simulation frameworks, analysis toolkits, and large-scale research projects.

Each record contains: Name, URL, Description, Main Topics, Type, Category, Year Active, and Open Access status.

Thematic areas covered: neural circuit modeling, brain-inspired AI, spiking neural networks, neuromorphic computing, connectomics, whole-brain simulation, behavioral neuroscience, representational similarity analysis, fMRI analysis, pose estimation, and cognitive modeling.

Key resources included: Open Source Brain, Brain-Score, UNDR, Allen Brain Atlas, EBRAINS, Blue Brain Project, Human Brain Project, NEST Simulator, Nengo, PyNN, NetPyNE, BrainPy, NeuroGym, NeuralPredictions, BrainIAK, DeepLabCut, The Virtual Brain, and Blue Brain Nexus.

Intended for researchers in computational neuroscience, AI, cognitive science, and related fields seeking to navigate the landscape of Neuro-AI resources.