Neural computing is the study of cellular networks that have a natural property for storing experimental knowledge. Such systems bear a resemblance t… - Igor Aleksander

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Neural computing is the study of cellular networks that have a natural property for storing experimental knowledge. Such systems bear a resemblance to the brain in the sense that knowledge is acquired through training rather than programming and is retained due to changes in node functions. The knowledge takes the form of stable states or cycles of states in the operation of the et. A central property of such nets is to recall these states or cycles in response to the presentation of cues.

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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.

Trying to understand the brain's abilities leads to philosophical difliculties. Penrose (1994) argues that the task is sterile and that science, including neural networks, has not yet advanced to the stage where it can explain conscious thought. At the other extreme there are philosophers such as Fodor (1975) who believed that thought has language-like properties and can be analysed in the same logical way as one can anlayse the structure of language.

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