From f3d08439b2900d4de5f9a90ff2221a813d9be5ad Mon Sep 17 00:00:00 2001
From: jegp <jens@jepedersen.dk>
Date: Sun, 9 Jul 2023 01:45:19 +0200
Subject: [PATCH] Add I to docs

---
 docs/source/intro.rst | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/docs/source/intro.rst b/docs/source/intro.rst
index eb78613..4b0e82a 100644
--- a/docs/source/intro.rst
+++ b/docs/source/intro.rst
@@ -8,6 +8,8 @@ Computational units
 
 On top of popular primitives such as convolutional or fully connected/linear computations, we define additional compuational primitives that are specific to neuromorphic computing and hardware implementations thereof. Computational units that are not specifically neuromorphic take inspiration from the Pytorch ecosystem in terms of naming and parameters (such as Conv2d that uses groups/strides). Example definitons of computational units:
 
+.. math::
+    \text{I}: [R]
 .. math::
     \text{LI}: [\tau, R, v_{leak}]
 .. math::