Neural Computing is the study of networks of adaptable nodes which through a process of learning from task examples, store experiential knowledge and… - Igor Aleksander

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Neural Computing is the study of networks of adaptable nodes which through a process of learning from task examples, store experiential knowledge and make it available for use.

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About Igor Aleksander

Igor Aleksander (born January 26, 1937) is an electrical engineer, emeritus professor of Neural Systems Engineering at Imperial College London and experts in the field of artificial intelligence and neural networks, known for designing the world's first neural pattern recognition system in the 1980s.

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Machine consciousness refers to attempts by those who design and analyse informational machines to apply their methods to various ways of understanding consciousness and to examine the possible role of consciousness in informational machines.

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A neural network is a massively parallel distributed processor that has a natural propensity for storing experiential knowledge and making it available for use. It resembles the brain in two respects: 1. Knowledge is acquired by the network through a learning process. 2. Interneuron connection strengths known as synaptic weights are used to store the knowledge.

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