.. figure:: https://github.com/geometric-intelligence/neurometry/assets/8267869/f24ddbf2-78ce-4896-9417-ed966316af2e
   :alt: neurometry
   :class: with-shadow
   :width: 1000px


**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 <https://web.physics.ucsb.edu/~facosta/>`_, `Sophia Sanborn <https://www.sophiasanborn.com/>`_, `Khanh Dao Duc <https://kdaoduc.com/>`_, `Manu Mahdav <https://www.manusmad.com/>`_ and `Nina Miolane <https://www.ninamiolane.com/>`_.

- **Relating Representational Geometry to Cortical Geometry in the Visual Cortex**. NeurIPS Workshop on Unifying Representations in Neural Models 2023.
`Francisco Acosta <https://web.physics.ucsb.edu/~facosta/>`_, `Colin Conwell <https://colinconwell.github.io/>`_, `Sophia Sanborn <https://www.sophiasanborn.com/>`_, `David Klindt <https://david-klindt.github.io/>`_ and `Nina Miolane <https://www.ninamiolane.com/>`_.


🦾 Getting Started
------------------

Check out our :doc:`tutorials/index` to get started!

.. toctree::
   :maxdepth: 2
   :hidden:

   api/index
   tutorials/index