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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 availab… - Igor Aleksander
" "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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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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Additional quotes by Igor Aleksander
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.
The point of a brain is that it's not one huge neural network with feedback, it has up to 50 to 60 identified areas, all of which have feedback and all of which are capable of knowledge storage. We've got a complex system and, within this complex system, we can start discovering what the mechanisms that support deliberation are. Consciousness must come out of these interactions.
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