From 3b57ea711c1b2e54e451f1eb0a584660f2b092ed Mon Sep 17 00:00:00 2001 From: Florian Unger <florian.unger@fau.de> Date: Sat, 5 Dec 2020 09:32:00 +0100 Subject: [PATCH] appearently headers work the other way around with gitlab markdown --- README.md | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/README.md b/README.md index 23c0552..5574dd6 100644 --- a/README.md +++ b/README.md @@ -1,4 +1,4 @@ -### Goal +# Goal This project aims to extend the methods presented in https://www.frontiersin.org/articles/10.3389/fncom.2017.00048/full @@ -10,8 +10,8 @@ https://www.frontiersin.org/articles/10.3389/fncom.2017.00048/full The data/ subdirectory contains (for your convenience) connectomes from several other research projects. In no particular order these are: -### Data sources -# BBP +# Data sources +### BBP data/bbp/ contains data downloadable from bbp.epfl.ch. They wish to be cited by: 1. Markram H, et al. (2015). Reconstruction and Simulation of Neocortical Microcircuitry. Cell 163:2, 456 - 492. doi: 10.1016/j.cell.2015.09.029 @@ -19,17 +19,17 @@ data/bbp/ contains data downloadable from bbp.epfl.ch. They wish to be cited by: 3. Reimann MW, et al., (2015). An Algorithm to Predict the Connectome of Neural Microcircuits. Front. Comput Neurosci. 9:28. doi: 10.3389/fncom.2015.00120 -# C.Elegans +### C.Elegans data/c.elegans/ contains (curated) data from the wormwiring.org project. Im not sure how they wish to be cited, but the data is from: https://wormwiring.org/pages/adjacency.html -# q-rewiring +### q-rewiring These are artificial connectomes of SNN trained via Q-rewiring (Horst Petschenig). See TBA for details. -# deep-rewiring +### deep-rewiring These are artifical connectoms of SNN trained via deep-rewiring to solve sequential MNIST. See G. Bellec, D. Kappel, W. Maass, and R. Legenstein. Deep rewiring: training very sparse deep networks. International Conference on Learning Representations (ICLR), 2018. -- GitLab