Essay Abstract

In this essay I will discuss the central question: how can a large network of neurons acquire consciousness or intuition? Furthermore I will present a model for the activity inside of the neural network which based on the principles of quantum physics. This model has similar features known from the theory of random surfaces and spin networks. Here we will analyze the network by considering the interaction of neurons by feedback loops. If one takes the signal amplitudes and frequency into account where high signals with high frequency representing learned features then the signal network degenerates to a tree. But then, the set of learned information (or the sample of examples to learn the network) can be divided into a finite number of classes. Then we are able to describe the learning process itself. Furthermore we will discuss what is intuition by introducing new relations between the feedback loops. Then we will obtain a simple criteria that a network has classified the information of the learning sample: the classes forming a fractal. Finally we will end up with the statement: Mindless rules (mathematics) are able to generate mind.

Author Bio

I'm a researcher at the German Aerospace Center with widespreaded interests. My current work is in direction of quantum gravity and cosmology. There, I used mathematical methods from topology to understand quantum gravity. In particular, exotic smoothness structures of the spacetime is my main research topic.

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Hi Mr Maluga,

Happy to see this fractal, I consider the central sphere the singularity for all serie of uniqueness, a finte serie.I consider the central sphere like the biggest volume and I believe that the primes has something to do.The relevance is that space disappears due to this universal serie of spherical volumes.I consider in my theory of spherisation with quant and cosmol 3D sphères Inside the universal sphere that all singularitites ,quant and cosm is Under an universal fractal considering even the gravitation and the quantum gravitation.The space does not exist, only matter and energy exists.Here is my equation E=m(b)c²+m(nb)l² about quantum gravitationa and cold dark matter produced by BHs.Don't hesistate to ask détails

Regards and good luck

    Dear Asselmeyer,

    Thank you for the nice essay on neural networks of brain.

    Your narration is excellent, You described a qualitative model for neural networks like the human brain which is based on interactions between neurons along loops, the feedback loops.'

    You are a cosmologist working on quantum gravity etc.... I request you to have a look on my essay also....

    For your information Dynamic Universe model is totally based on experimental results. Here in Dynamic Universe Model Space is Space and time is time in cosmology level or in any level. In the classical general relativity, space and time are convertible in to each other. That is one of the differences in both the models....

    Many papers and books on Dynamic Universe Model were published by the author on unsolved problems of present day Physics, for example 'Absolute Rest frame of reference is not necessary' (1994) , 'Multiple bending of light ray can create many images for one Galaxy: in our dynamic universe', About "SITA" simulations, 'Missing mass in Galaxy is NOT required', "New mathematics tensors without Differential and Integral equations", "Information, Reality and Relics of Cosmic Microwave Background", "Dynamic Universe Model explains the Discrepancies of Very-Long-Baseline Interferometry Observations.", in 2015 'Explaining Formation of Astronomical Jets Using Dynamic Universe Model, 'Explaining Pioneer anomaly', 'Explaining Near luminal velocities in Astronomical jets', 'Observation of super luminal neutrinos', 'Process of quenching in Galaxies due to formation of hole at the center of Galaxy, as its central densemass dries up', "Dynamic Universe Model Predicts the Trajectory of New Horizons Satellite Going to Pluto" etc., are some more papers from the Dynamic Universe model. Four Books also were published. Book1 shows Dynamic Universe Model is singularity free and body to collision free, Book 2, and Book 3 are explanation of equations of Dynamic Universe model. Book 4 deals about prediction and finding of Blue shifted Galaxies in the universe.

    With axioms like... No Isotropy; No Homogeneity; No Space-time continuum; Non-uniform density of matter(Universe is lumpy); No singularities; No collisions between bodies; No Blackholes; No warm holes; No Bigbang; No repulsion between distant Galaxies; Non-empty Universe; No imaginary or negative time axis; No imaginary X, Y, Z axes; No differential and Integral Equations mathematically; No General Relativity and Model does not reduce to General Relativity on any condition; No Creation of matter like Bigbang or steady-state models; No many mini Bigbangs; No Missing Mass; No Dark matter; No Dark energy; No Bigbang generated CMB detected; No Multi-verses etc.

    Many predictions of Dynamic Universe Model came true, like Blue shifted Galaxies and no dark matter. Dynamic Universe Model gave many results otherwise difficult to explain

    Have a look at my essay on Dynamic Universe Model and its blog also where all my books and papers are available for free downloading...

    http://vaksdynamicuniversemodel.blogspot.in/

    Best wishes to your essay.

    For your blessings please................

    =snp. gupta

      Dear Torsten Asselmeyer-Maluga,

      Please excuse me for I have no intention of disparaging in any way any part of your essay.

      I merely wish to point out that "Everything should be made as simple as possible, but not simpler." Albert Einstein (1879 - 1955) Physicist & Nobel Laureate.

      Only nature could produce a reality so simple, a single cell amoeba could deal with it.

      The real Universe must consist only of one unified visible infinite physical surface occurring in one infinite dimension, that am always illuminated by infinite non-surface light.

      A more detailed explanation of natural reality can be found in my essay, SCORE ONE FOR SIMPLICITY. I do hope that you will read my essay and perhaps comment on its merit.

      Joe Fisher, Realist

        Dear Mr. Gupta,

        now I will start reading other essays and of course I will comment on your ideas soon. Thanks for your words about my essay and for the effort to read it.

        Best Torsten

        Dear Steve,

        I have to dig deeper in your theory but using fractals is maybe a good beginning. More later,

        Best wishes

        Torsten

        Dear Torsten,

        I once thought about cognition being derived from closed loops. The reason for is since we are aware of many things, even if unconsciously, I think we are at least in very a neurotic and compulsive state of mind towards any kind of information. And, indeed, the circuitry of our brain is made of small loops, when information is kept stored, and large loops, which pass through the Thalamus several times, being redistributed to several other parts of the brains. So, it is basically a mechanism cortex-thalamus-cortex-thalamus. The cerebellum here may also include cerebellum, for extremely repetitive and fast processing.

        Interestingly,thought not related to what led me to think about the latter, In fact, one the earliest types of computer memory a similar idea:

        https://en.wikipedia.org/wiki/Delay_line_memory

          Dear Daniel,

          thanks for your comments. I had the feeling that the loop hypothesis is correct. I was thing that there is an interaction between neurons which can be not directly realized (so that it forms a loop).

          Your explaination is interesting and I need only some loops for my argument.

          Certainly I have to look in your essay.

          Best wishes

          Torsten

          Correction: So, it is basically a mechanism cortex-thalamus-cortex-thalamus. The cerebellum here may also include cerebellum, for extremely repetitive and fast processing.

          The correct is

          So, it is basically a mechanism cortex-thalamus-cortex-thalamus. The "brain" here may also include cerebellum, for extremely repetitive and fast processing.

          • [deleted]

          Torsten,

          Great essay! I discuss very much the same thing in my essay which is in line with MERA or tensor networks. There is a sort of analogue between quantum cosmology, or quantum bits in cosmology and general information networks. The universe is a network of causal sets. There is I think a switch between blue and green in the pictorial representation of contractible and noncontractible loops.

          Cheers LC

            This post was from me, but for some reason I was logged out. I boosted your score a bit!

            LC

            Dear Torsten,

            I enjoyed reading your essay. I like how you applied the theory developed by Morgan and Shalen for 3-manifolds to neural networks and feedback loops, to explain learning and intuition. The essay was clear, self-contained, and well written. I think this approach may make interesting applications to the study of the processes taking place in the consciousness.

            Best wishes,

            Cristi Stoica

            The Tablet of the Metalaw

            Dear Torsten,

            You deal with important issues; in particular, "The interaction between neurons given by the feedback loops controls the behavior of the neurons in the loop. In philosophy, one calls this behavior top-down causation: Top-down causation refers to the effects on components of organized systems that cannot be fully analyzed in terms of component-level behavior but instead requires reference to the higher-level system itself. This model serves as a simple example of this principle."

            This is indeed a good example, which I appreciate. The concept is dealt with in more general contexts in my recent book How Can Physics Underlie the Mind?.

            Regards

            George Ellis

              Dear Lawrence,

              thanks for reading my essay. Today I had the chance to read your essay (in the train). You are right that our essays are connected. The math is a little bit different but the idias look similar.

              I better post my question in your essay part.

              Best Torsten

              Dear Prof Ellis,

              I'm honnored that you read my essay.

              Currently I had no chance to have a look into your book but I plan to read it. Today I read your essay but I will better comment in your essay part.

              Best Torsten

              6 days later

              I will try to respond tomorrow. I got the flu a few weeks ago and now I have bronchitis that is sort of dragging me down. I do have a question concerning the Uhlenbeck, Freed, Donaldson type of result, but I will have to wait until tomorrow if I am better.

              Cheers LC

              5 days later

              Hi Torsten

              Since I am not conversant with hyperbolic geometry and quantum physics, I cannot pretend to have understood all the fine details present in your modeling of the neural network, but I certainly found it to be intriguing, since my own essay was attempting a different type of modeling, that of the social system. What I found most interesting about your model was that the top-down flow of neural activity is more predictive of conscious awareness than the bottom-up flow of activity. You go on to state in the conclusion, "Top down causation refers to the effects on components of organized systems that cannot be fully analyzed in terms of component-level behavior but instead requires reference to the higher-level system itself".

              Speaking purely from what I would expect to be the case for intelligent systems, (without much knowledge of the brain as an organ), I would expect such top down causation to be present if a system is to be considered as intelligent. And although I have not thought about it in precisely those terms in my essay, I think you might be able to recognize this top down behavior in it as well. I think you have written a great essay and I rate it accordingly.

              Warm Regards, Willy