Domain-based dendral network

A domain-based dendral network comprising:

• a neural network;
• an input bus;
• an output bus;
• a pattern comparator;
• a tuning bus;
• the neural network comprising at least one neuron layer;
• each of the at least one neuron layer comprising a plurality of neurons;
• each of the plurality of neurons comprising a plurality of dendrons;
• each of the plurality of dendrons being configured to receive at least one neural signal, process the at least one neural signal, and output a dendral vector based on the processing;
• each of the plurality of neurons being configured to receive a plurality of dendral vectors from the plurality of dendrons, process the plurality of dendral vectors, and output an output signal based on the processing;
• the input bus being communicably coupled with the neural network;
• the input bus being configured to receive an input pattern and distribute the input pattern within the at least one neuron layer according to a uniform routing method, wherein a given set of signals is distributed within a given neuron layer in the uniform routing method;
• the output bus being communicably coupled between the neural network and the pattern comparator;
• the output bus being configured to receive an output pattern from the neural network and transmit the output pattern to the pattern comparator;
• the pattern comparator being communicably coupled between the output bus and the tuning bus;
• the pattern comparator being configured to receive the output pattern and a control pattern, process the output pattern and the control pattern, and produce a tuning pattern based on the processing;
• the tuning bus being communicably coupled between the pattern comparator and the neural network;
• and
• the tuning bus being configured to receive the tuning pattern from the pattern comparator and distribute the tuning pattern within at least one domain of the neural network,
• wherein the tuning pattern is distributed within the neural network according to a domain routing method,
• wherein each of the at least one domain is associated with at least one domain member neuron from the plurality of neurons of at least one of the at least one neuron layer, and
• wherein each of the at least one domain is associated with a specific class of patterns.