Artificial Consciousness/Neural Correlates/Neural Models/Hopfield Neuron
The Hopfield Neuron (Neural Network Model) edit
The Hopfield Neuron, was an attempt to make neural networks compatible with computer systems, by creating a neural model that output in binary. Based loosely on the idea that what was important was whether or not a neuron fired, these network models used either binary, or an equivalent {1,-1} pattern as their output.
If the output was a 1 the neuron was said to have fired otherwise its value was -1 or 0.
Because the output was binary a Hopfield Neuron could be substituted for a Logic Gate in a computer system. While this was interesting to Artificial Intelligence researchers it did nothing much for Neuroscience, however research is ongoing on Hopfield Networks because they are so attractive to computer engineers.