Sparse Distributed Memory

We have been working on a new implementation of SDM. It is available at [https://github.com/msbrogli/sdm-framework].

This is an implementation of SDM created by Pentti Kanerva in 1988. SDM is a mathematical model that has some cognitive properties.

It was used to make simulations in my master thesis oriented by Ph.D. Alexandre Linhares. I would like to thanks him and M.Sc. Daniel Chada for their friendship and all their contributions to my thesis.

What is it for?

To do.

How to install?

You need GNU autotools installed in your computer. Then run the following commands:

./autogen.sh
./configure
make

The Python wrapper is in python/ directory.

Where to start?

The supplemental_data.pdf holds:

i) An introduction to the computational methods available in https://github.com/msbrogli/sdm;
ii) A large set of additional heatmaps, documenting the critical distance behavior of the model in a 1000-dimensional memory;
iii) The same tests on 256-dimensional memory,
iv) all rehearsal results for 256-dimensional memory, and
v) the same tests for 1000-dimensional memory.

How do I contribute?

Just fork it and do the usual pull request dance. :)

Where to start?

The supplemental_data.pdf holds:

i) An introduction to the computational methods available in https://github.com/msbrogli/sdm; ii) A large set of additional heatmaps, documenting the critical distance behavior of the model in a 1000-dimensional memory; iii) The same tests on 256-dimensional memory, iv) all rehearsal results for 256-dimensional memory, and v) the same tests for 1000-dimensional memory.

Authors

• 2011 Marcelo Salhab Brogliato
• 2011 Alexandre Linhares
• 2011 Daniel Chada