NTAFTAWT User Guide

Last update: 12-27-2007

This program feeds a set of patterns to the input of the neural network. The input pattern is a simple representation of seeing.

Start the "charpatt" program
Use File/Open to open the file blockL1P2.txt
Move the mouse over the neurons to see how their dendrites match the input pattern.
Keep the iterations to 1, and press "Run", then move the mouse over neurons to see matches for the new pattern. Watching the same neuron over a few iterations should show that the number of dendrites that match the input pattern is increasing.

Interface	Description
Left Scene	The left scene shows a representation of the eye rods/cones
Right Scenes	The right scenes shows a representation of the neurons. Moving the cursor over a neuron will highlight where the dendrites of the neuron are connected to the eye. The number of scenes on the right depends on the number of layers loaded by the configuration. Clikcing on a neuron will show all dendrites of the neuron of all layers.
Iterations	Each time the Run button is pressed, the fire and learn functions are performed for this many times.
Box/Character	Defines the type of input patterns that will be set to fill the network
History	This shows which neurons are firing over time. The gray scale indicates how many dendrites matched a pattern at some time. The colored dots indicate firing and remapping. A different history dialog will be loaded depending on which layer/scene the mouse was in last.
Quality	This shows which neurons fired at particular times and the neurons are sorted in order. This gives an indication of whether there are sets of neurons that uniquely identify a pattern. A different quality dialog will be loaded depending on which layer/scene the mouse was in last.
Run	This will run a certain number of iterations and perform the following: The neurons will fire based on the input patterns. The input pattern will change for every iteration. The neurons will learn by remapping certain dendrites.