Im Blog “Memoir of a Postgrad” war folgendes zu lesen:

Given that ‘W’ represents the world, ‘B’ represents the brain, and ‘D’ represents the body (of the human), such that a system (W, D, B) is one which we wish to describe (in other words the behaviour of the human in the world), and that B(t) is the formal representation of B at time t (such that B(0) is the brain in its starting state), then four propositions are made:

(1) It is possible to find a relatively small representation of B(0). It is speculated that this amount of information may fit on a single floppy disk (?!).
(2) Any formal representation of B(t) when t is large (on the scale of years perhaps) would be huge (possibly terabytes). This is due to the presence of the persons personal experiences.
(3) It is practically impossible to reverse engineer B(t) (when t is large) without first reverse engineering B(0).
(4) It is practically impossible to model the behaviour of the system (W, D, B) without a representation of B(t).

Based on these four propositions, the project (known as Brain 0) is to reverse engineer the starting state of the brain. Eliashberg provides a possible model: that of a universal learning computer, based on a universal Turing machine.

Paul Baxter bezieht sich dabei auf die Arbeit von Victor Eliashberg, von dem auf google-Video dieser Vortrag zu finden ist:

[googlevideo 6388321569524130769]

Die Frage, die mich nun beschäftigt, ist, welcher Art die Daten sein sollen, die B(t) (mit beliebigen t) charakterisieren. Was es nicht sein kann sind Bits und Bytes. Irgendwie müsste die Verbindungen zwischen den einzelnen Neuronen charakterisiert werden. Dann reicht aber schon für die Aufzählung aller Neuronen der Platz auf einer Floppy (für alle, die sich nicht erinnern können: 1,44 MB) nicht aus. Wie sonst könnten die Daten “gestrickt” sein?

Naja, ich werde der Frage nachgehen und hier schreiben, wenn ichs rausgefunden habe.

One Response to ““B(0)” oder “Das Gehirn als universeller Lerncomputer””

1. Paul
   Januar 8th, 2007 @ 23:19

   I’m afraid my german is non-existant, but thanks for the link. I think the work Eliashberg describes in the presentation extremely interesting, even if only due to the fact that he uses a completely novel approach to studying the human brain. Perhaps I misunderstand something (probably quite a lot!), but I’m unclear on how this work would relate/map on to what is fairly obviously a neural system in the biological organism.

   Looking at the blog links you have listed, have you come across the blog “developing intelligence”? I find it very interesting, and the paper reviews very informative. I don’t know the guy who writes it, but I recommend the blog to anyone.

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