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!