From 10e91e9cc9f547d6829b335a2cd3a9357aedc765 Mon Sep 17 00:00:00 2001
From: Adam Gosztolai <45966708+agosztolai@users.noreply.github.com>
Date: Fri, 1 Dec 2023 17:17:23 +0100
Subject: [PATCH] Update README.md

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 README.md | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

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-# MARBLE - Manifold Representation Basis Learning
+# MARBLE - MAnifold Representation Basis LEarning
 
 MARBLE is a fully unsupervised geometric deep-learning method that can 
 
-1. intrinsically represent vector fields over manifolds, such as those arising in neural recordings or dissipative dynamical systems, but it is not limited to dynamical systems
-2. perform unbiased comparisons across dynamical systems or parameter conditions by jointly embedded representations
-3. can operate in geometry-aware or geometry-agnostic modes to test the contribution of manifold dynamics and geometry.
+1. Find interpretable representations of neural dynamics, more generally dynamical systems, or even more generally vector fields over manifolds.
+2. Perform unbiased comparisons across conditions within the same animal (or dynamical system).
+3. Compare dynamics across animals or artificial neural networks.
 
 The code is built around [PyG (PyTorch Geometric)](https://pytorch-geometric.readthedocs.io/en/latest/notes/installation.html).