[w:Donald O. Hebb] placed the Law of Effect at the synaptic level by proposing a correlation model of synaptic modification similar to that of Hayek (1952). This work was seminal in providing a basis for many subsequent theoretical studies.
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Gerald Edelman, in Neural Darwinism (1987), p. 12.Friedrich Hayek
» Friedrich Hayek - all quotes »
[Hayek] made a quite fruitful suggestion, made contemporaneously by the psychologist Donald Hebb, that whatever kind of encounter the sensory system has with the world, a corresponding event between a particular cell in the brain and some other cell carrying the information from the outside word must result in reinforcement of the connection between those cells. These day, this is known as a Hebbian synapse, but von Hayek quite independently came upon the idea. I think the essence of his analysis still remains with us.
Friedrich Hayek
Take disintegration far enough and you get a new form of integration. I tend to see all this in neural terms. It doesn’t matter how big your brain is, or how many cells or neurons in it, what matters is the synaptic fusions, the connections that determine how intelligent you are. As with the individual, so with the macrocosm. That’s how the kind of society I live in works, me and my friends and my contacts, we don’t work in any hierarchical sense. No one wants a boss, to be a boss, to work under a boss. The people you like working with are the people you respect as individuals.
Alan Moore
General Systems Theory is a name which has come into use to describe a level of theoretical model-building which lies somewhere between the highly generalized constructions of pure mathematics and the specific theories of the specialized disciplines. Mathematics attempts to organize highly general relationships into a coherent system, a system however which does not have any necessary connections with the "real" world around us. It studies all thinkable relationships abstracted from any concrete situation or body of empirical knowledge.
Kenneth Boulding
The first proponent of cortical memory networks on a major scale was neither a neuroscientist nor a computer scientist but … a Viennes economist: Friedrich von Hayek (1899-1992). A man of exceptionally broad knowledge and profound insight into the operation of complex systems, Hayek applied such insight with remarkable success to economics (Nobel Prize, 1974), sociology, political science, jurisprudence, evolutionary theory, psychology, and brain science (Hayek, 1952)."
Friedrich Hayek
The book, as it stands, seems to me to be one of the most frightful muddles I have ever read, with scarcely a sound proposition in it beginning with page 45 [Hayek provided historical background up to page 45; after that came his theoretical model], and yet it remains a book of some interest, which is likely to leave its mark on the mind of the reader. It is an extraordinary example of how, starting with a mistake, a remorseless logician can end up in bedlam.
John Maynard Keynes
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