Neurometry is a computational framework to quantify geometric intelligence in natural and artificial brains. Neurometry provides functionalities to analyze the geometric structures underlying computation in neural systems - neural representations and neural manifolds.

This repository contains the official PyTorch implementation of the papers:

• Quantifying Extrinsic Curvature in Neural Manifolds. CVPR Workshop on Topology, Algebra and Geometry 2023.

Francisco Acosta, Sophia Sanborn, Khanh Dao Duc, Manu Mahdav and Nina Miolane.

• Relating Representational Geometry to Cortical Geometry in the Visual Cortex. NeurIPS Workshop on Unifying Representations in Neural Models 2023.

Francisco Acosta, Colin Conwell, Sophia Sanborn, David Klindt and Nina Miolane.

🦾 Getting Started

Check out our Tutorials to get started!