Wednesday, February 26, 2014

Vortex Model of the Brain: δv and δp represent small perturbations in velocity and pressure

http://coe.bri.niigata-u.ac.jp/files/vtheory/IHBS_ch1_1.pdf
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    Vortex Model of the Brain:
    - The Missing Link in Brain Science? -





    --------------

    Vortices in brain activity: their mechanism and significance for perception.

    Abstract

    Brains interface with the world through perception. The process extracts information from microscopic sensory inputs and incorporates it into the mesoscopic memory store for retrieval in recognition. The process requires creation of spatiotemporal patterns of neural activity. The construction is done through phase transitions in cortical populations that condense the background activity through spontaneous symmetry breaking. Large-scale interactions create fields of synaptically driven activity that is observed by measuring brain waves (electrocorticogram, ECoG) and evaluated by constructing a mesoscopic vectorial order parameter as follows. The negative feedback among excitatory and inhibitory neurons creates spatially and spectrally distributed gamma oscillations (20-80 Hz) in the background activity. Band pass filtering reveals beats in ECoG log analytic power. In some beats that recur at theta rates (3-7 Hz), the order parameter transiently approaches zero, giving a null spike in which the microscopic activity is uniformly disordered (symmetric). A phase transition that is manifested in an analytic phase discontinuity breaks the symmetry. As the null spike terminates, the resurgent order parameter imposes mesoscopic order seen in spatial patterns of ECoG amplitude modulation (AM) that actualize and update the memory of a stimulus. Read-out is through a divergent/convergent projection that performs on cortical output an irreversible spatiotemporal integral transformation. The ECoG reveals a conic phase gradient that accompanies an AM pattern. The phase cone manifests a vortex, which is initiated by the null spike, and which is inferred to help stabilize and prolong its accompanying AM pattern that might otherwise be rapidly degraded by the turbulent neural noise from which it emerges.




    assemblies.


    g
    D


    D


    D


    D


    D
    Elaboration of the Hypothesis
    Entropy-Vortex Wave and Cortical Information Processing

    Axiomatic Basis I indicates that the shape of the human brain is not accidental. Rather, it

    possesses specific physical meaning in the creation of a virtual sphere in accordance to


    convective flow. An important consequence of this fact is that it ensures equivalence of any of




    the columns within the entire cortex in an orientation perpendicular to the surface of the brain


    and a steady flow in the direction from the core to the surface (Layer VI to I) in all the columns


    (Figure 3).


    To demonstrate the functional significance of such an organization, here, the effects of a


    minor perturbation on such a steady flow will be elaborated (Faber, 1995, Landau & Lifshitz,


    1987).


    Euler’s equation is given by:

    + ( ⋅∇) + 1 ∇ = 0




    p






    t
    δ


    ρ

    δv v δv


    where δv and δp represent small perturbations in velocity and pressure, respectively.




    Similarly, conservation of entropy and the equation of continuity give:

    + ⋅∇ = 0




    s






    t

    δs v δ


    + ⋅∇ + 2∇⋅ = 0




    δ v δp ρc δv





    t


    p

    where s






    c s


    p


    pδρ δ ( ρ ) δ 2

    = + ∂ and c represent sound velocity.

    For a perturbation having the form exp[ik r iωt] , one gets:




    ( ) 0


    ( ) 0


    ( ) 0

    ⋅ − + 2 ⋅ =




    ⋅ − + =


    ⋅ − =
    v k k v


    v k v k


    v k
    ω δ ρ δ


    ρ


    ω δ δ


    ω δ
    p c


    p


    s
    This result prescribes that there will be two types of perturbations, namely, entropy-vortex


    wave and sound wave as defined below.
    Entropy-Vortex Wave
    0


    ( )


    0


    0
    ⋅ =


    =


    =




    = ⋅
    k v


    v k
    δ


    δ


    δ


    δρ δρ


    δ


    δ


    ω
    s


    s


    p


    s
    p

    ∇.δv = ik v 0







    Sound Wave
    0


    ( )


    0


    ( )
    2


    2


    2 2 2
    . =


    − ⋅ = ⋅


    =


    =


    − ⋅ =
    k v


    v k k v


    v k
    δ


    ω δ ρ δ


    δ δρ


    δ


    ω
    p c


    p c


    s


    c k
    For the purpose of brain modeling, the following points should be emphasized: (1) for

    entropy-vortex wave, δs 0 and ω = v k ; and (2) for sound wave, δs = 0. These conditions




    predict that a perturbation can produce

    entropy changes (δs 0) and, hence,




    information processing (Cover & Thomas,


    1991, Arbib, 1995) and create

    entropy-vortex waves. The fact ω = v k



    ensures that an entropy-vortex wave, which


    carries newly processed information,


    travels only in the direction identical to the


    original flow. In the case of the brain


    where the original flow is always


    perpendicular to the surface of the brain,


    this flow is in the direction parallel to the


    columnar arrangement from layer VI to I


    (Figure 5). The velocity of the sound wave


    is subsonic and, hence, will travel in all

    directions3. However, a sound wave does

    not carry any new information (δs = 0).


    3 Sound waves

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