Hello John and other FISers,
Thank you for the link. It's disappointing that the SA article fails to also
describe ground-breaking work by Wheeler and Bekenstein on the subject.
Best regards,
Kevin Clark
California NanoSystems InstituteUniversity of California Los AngelesLos
Angeles, CA
Joseph,
Thank you for your comments about the Penrose book. We discussed this briefly
before, but, if you haven't already read Jacob Bekenstein's work on black hole
thermodynamics and the holographic principle, you should. Much of it is related
to the material you describe for the Penrose book.
Pedro, thank you for the citations of the Science and Cell articles. I find the
paper "The Connectome of a Decison-Making Neural Network" by Jerrall et al. a
technical achievement. However, the authors present no new concepts in terms of
the role of neural networks in decision making, knowledge,
Thank you Gordana for your reply. But I'm not sure whether not you
misunderstood my comments about a direct correspondence between information and
physics in biology. So, I thought I should stress my point from a slightly
different approach.
Khrennikov and colleagues, for instance, often refer
Dear FISers:
Pedro and Plamen raise good and welcomed points regarding the nature of
physics, information, and biology. Although I believe in a strong relationship
between information and physics in biology, there are striking examples where
direct correspondences between information, physics,
rates. Communicative & Integtrative Biology, 3(6),
540-544. http://www.landesbioscience.com/journals/cib/article/12842
Best regards,
Kevin Clark
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The Question of Revisiting or Revising the Fluctuon Model
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Re: Foundations of Information Science Group Discussion
Advances in Quantum Cell Biology and Natural Computing
Kevin B. Clark, Ph.D.
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Research branches of natural computation that model live biological systems for
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