Artificial Consciousness/Neural Correlates/Neural Models/Axon Model

The Axon Model
The Concept of a Neuron as being a processing system with inputs a process and outputs, as suggested in the previous article the Dendrite Model gives us an output role. In the neuron this role is taken by the Axon processes of the Neuron.

Theoretically every output is equivalent, however due to technological limitations different technologies have different limits on how many outputs can come from a single source. We call this Fan-out. As a result, only so many outputs can be connected to any signal directly. The Neuron has a 1 to 1 ratio between pre-synaptic buds, and post-synaptic buds on other neurons. In order to achieve this capability the neuron must distribute its signals to the other neurons. This distribution network would theoretically be equivalent to a star shaped network connecting the output of the neuron to the receiving neurons. This structure is called an Outstar.

The limits in the fan-out of the Axon, are related to the ability of the Axon to branch, Only so many branches can be made at any one hub. As a result different output connections have different distances to travel from the hub. As a result over the network of outputs, a signal may arrive at sensitive patches of different neurons at different times. Since this is expected, it is interesting to note that some signals such as the signals called Gamma Synchronized Oscillations manage somehow to synchronize despite such fan-outs.