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Product details
File Size: 191 KB
Print Length: 95 pages
Publisher: Berlinische Verlagsanstalt KG (May 2, 2012)
Publication Date: May 2, 2012
Sold by: Amazon Digital Services LLC
Language: English
ASIN: B007ZVBBAA
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Amazon Best Sellers Rank:
#361,681 Paid in Kindle Store (See Top 100 Paid in Kindle Store)
While the metaphor of brain as computer (or computer is brain) is highly misleading , von Neumann's book is an illuminating mid-century perspective on the relation between the two. von Neumann writes with a clarity that is often missing in the individual fields he straddles here - even now his book would serve as an introduction to both computer science and neuroscience for the general reader.
I got this book after seeing Jacob Bronowski mention it on his 'Ascent of Man' series. It certainly may seem dated in some parts now, but some of the fundamentals it goes over are timeless.I think it would be better to start reading this book while thinking of from an historical perspective instead of expecting current scientific schools of thought.
A genius that changes the world
John von Neumann was the principal architect (in 1945) of the design from which all subsequent electronic computers trace their lineage. As he was dying of bone cancer, this giant of 20th Century mathematics and physics wrote the last of his 150 research papers, "The Computer and the Brain".In 80 pages, von Neumann describes the key components and processes of computers and of brains and then analyzes their similarities and differences. Developments in both computer science and neuroscience during the intervening six decades have corroborated his overall analysis. Von Neumann had a better grasp in 1956 than proponents of AI have today of what differentiates artificial intelligence (computers) from biological intelligence (brains). In the last section of "The Computer and the Brain", von Neumann goes to considerable lengths to explain exactly how computers differ from brains:"It should also be noted that the message-system used in the nervous system, as described in the above, is of an essentially statistical character. In other words, what matters are not the precise positions of definite markers, digits, but the statistical characteristics of their occurrence, i.e., frequencies of periodic or nearly periodic pulse-trains, etc."Thus the nervous system appears to be using a radically different system of notation from the ones we are familiar with in ordinary arithmetic and mathematics. Instead of the precise systems of markers where the position--and presence or absence--of every marker counts decisively in determining the meaning of the message, we have here a system of notations in which the meaning is conveyed by the statistical properties of the message. We have seen how this leads to a lower level of arithmetical precision but to a higher level of logical reliability: a deterioration in arithmetics has been traded for an improvement in logics."Or, to quote von Neumann again farther down the same page, "The Language of the Brain is Not the Language of Mathematics".Try to imagine transistor logic gates, arithmetic logic units, integrated circuits, multi-core microprocessors, neuromorphic chips, neural networks, massively parallel systems, software algorithms, etc.--all without math. Good luck.
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