Hopfield Network and Stimuli Repetition

Unpublished work by Joshua Oon Soo Goh [1] in fulfillment of Psych 591 Neural Network Modeling course conducted in Spring 2007 at the Dept. of Psychology, University of Illinois at Urbana-Champaign, IL, USA, instructed by John Hummel. This work extends the Hopfield Network as implemented by John Hopfield [2] by evaluating its performance with respect to stimuli repetition. The primary code is writtern in R (HopfieldNetwork.R), which has recently been ported to a Jupyter Notebook binary_autoencoder.ipynb.

Bibliography & Notes

1. Goh, J. O. S. (2007). Hopfield Network. Unpublished. [pdf]
2. Hopfield, J. J. (1982). Neural networks and physical systems with emergent collective computational abilities. Proceedings of the National Academy of Sciences USA, 79, 2554-2558.
3. GIBMS 7015 Neural Networks Course, NTU COOL, National Taiwan University, https://cool.ntu.edu.tw/courses/45064/pages/neural-networks
4. [3] uses the Hopfield Network Colab instance binary_autoencoder.ipynb