kdonthi/hopfield-model

Utilizes the three kinds of updates for the Hopfield model: synchronous, asynchronous ordered, and asynchronous random. The program plots the Energy as a function of iteration.

Hopfield-Model

Utilizes the three kinds of updates for the Hopfield model: synchronous, asynchronous ordered, and asynchronous random. The program plots the Energy as a function of iteration.

The program takes in 3 command-line arguments:

1. The type of update
   a) Synchronous (synch) - all your X values are updated every iteration
   b) Asynchronous random (asynchrand) - A random X value is chosen to be updated every iteration
   c) Asynchronous order (asynchorder) - An X value is updated if the previous X value was updated the previous iteration ((iteration - 1) % (dimension of X vector)) gives the index to be updated this iteration, if we say that the iterations start at 1)
   
2. The amount of inputs/dimension of weight matrix
3. Symmettry of weight matrix (1 if it should be symmetric, 0 if values should be chosen randomly)

E.g.

python3 hopfield.py asynchorder 2 0 uses asynchronous order update, an input vector of size 2, and a weight matrix with randomly picked values
and python3 hopfield.py synch 3 1 uses synchronous update, an input vector of size 3, and a symmetric weight matrix.