Abstract
Biological neural networks are extremely rich in complexity and dynamics. Nobel Laureate John Eccles once described the human brain as the most complex system in the universe. The investigation of artificial and natural neural networks can be undertaken on many different levels. The biological neuron is itself a highly complex biochemical system that is still not entirely understood. Philosophers like John Searle [159] and Roger Penrose [141, 142] argue that the intrinsic properties of the brain may not be modelled by any computer and that the human brain involves other mechanisms (e.g., quantum phenomenon). So far, no definite answer could be given and many a scientist believe that the brain computes within the Turing limit only.
The aim science is not to open the door to infinite wisdom, but set a limit to infinite error. — Berthold Brecht, The Life of Galileo, 1939.
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© 2002 Springer-Verlag London
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Teuscher, C. (2002). Network Properties and Characteristics. In: Turing’s Connectionism. Discrete Mathematics and Theoretical Computer Science. Springer, London. https://doi.org/10.1007/978-1-4471-0161-1_5
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DOI: https://doi.org/10.1007/978-1-4471-0161-1_5
Publisher Name: Springer, London
Print ISBN: 978-1-85233-475-8
Online ISBN: 978-1-4471-0161-1
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