From b4073e16ba808719eb8053f80806261735a40bc8 Mon Sep 17 00:00:00 2001 From: "Randall C. O'Reilly" Date: Fri, 30 Aug 2024 22:24:39 -0700 Subject: [PATCH] update links for ch4 --- content/1-simulations/index.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/content/1-simulations/index.md b/content/1-simulations/index.md index 45952c0..e0312f9 100644 --- a/content/1-simulations/index.md +++ b/content/1-simulations/index.md @@ -40,13 +40,13 @@ Here's a full list of all the simulations and the textbook exercise questions as ## Chapter 4: Learning -* `self_org`: Self organizing learning using BCM-like dynamic of XCAL (Questions **4.1 -- 4.2**). +* [self_org](https://compcogneuro.org/sims/ch4/self_org): Self organizing learning using BCM-like dynamic of XCAL (Questions **4.1 -- 4.2**). * [pat_assoc](https://compcogneuro.org/sims/ch4/pat_assoc): Basic two-layer network learning simple input/output mapping tasks (pattern associator) with Hebbian and Error-driven mechanisms (Questions **4.3 -- 4.6**). * [err_driven_hidden](https://compcogneuro.org/sims/ch4/err_driven_hidden): Full error-driven learning with a hidden layer, can solve any input output mapping (Question **4.7**). -* `family_trees`: Learning in a deep (multi-hidden-layer) network, showing advantages of combination of self-organizing and error-driven learning (Questions **4.8 -- 4.9**). +* [family_trees](https://compcogneuro.org/sims/ch4/family_trees): Learning in a deep (multi-hidden-layer) network, showing advantages of combination of self-organizing and error-driven learning (Questions **4.8 -- 4.9**). * `hebberr_combo`: Hebbian learning in combination with error-driven facilitates generalization (Questions **4.10 -- 4.12**).