1. Introduction
What is the physical mechanism of memory in a brain? To date, the physical mechanisms for storing memories in the human brain have not been fully ascertained. Learning and memory are commonly understood as mechanistically correlated with synaptic plasticity involving brain neurons, affecting cognitive activities through neuronal networks, and supported by so-called “long-term potentiation” (LTP). This is an experimental paradigm stating that brief repetitive pre-synaptic stimulation causes prolonged post-synaptic sensitivity, e.g., to glutamate. Glutamate receptor binding opens membrane calcium channels, and causes calcium ion fluxes into dendritic spines in neurons, shafts and cell bodies which then result in various downstream effects including the activation and phosphorylation of the calcium-calmodulin kinase II (CaMKII) holoenzyme. A computational model demonstrating how this mechanism can lead to the development of encoded phosphorylation patterns in neuronal microtubules has been proposed by Craddock et al. [
1]. However, there has been no experimental validation of the model to date. Moreover, there could be different mechanisms involved in short- and long-term memory formation, each of which would rely on the different stability of the encoded state and its erasure. Several properties of memory storage in the human brain differ from the way that computer memory works [
2]. The human brain memorizes information by sequences of patterns. For example, it recalls a melody or a song forward in sequences, and not backward in sequences. It recalls memorized patterns auto-associatively, that is, it is able to recall information from a given sample. The human brain memorizes patterns in an invariant form [
3,
4]. For example, the motions generated when drinking tea in a cup are different each time; however, we recognize them as a single motion. When we see our friend’s face, we can recognize their face every time even from various angles and distances, with shades, and with various facial expressions. Over visual cortical processing, we find that the invariant representations of objects with respect to translation, size, and view [
5,
6,
7]. We process patterns in a hierarchical form, namely V1, V2,
, V5, for visual processing. Furthermore, the brain’s memory is robust against damages to parts of a brain and is diffused in a non-local storage manner. We represent the equipotentiality and the mass action principle. Equipotentiality refers to the property that memory is recalled by the other undamaged regions even when local regions in a brain are damaged [
8]. The mass action principle represents whether each memory is lost depends on the severity of extensive lesions in a brain [
9].
Quantum field theory is a powerful tool for describing a variety of physical phenomena in cosmology, elementary particle physics, nuclear physics, condensed matter physics, to name but a few areas of application. It can be also applied to biological systems, especially brain dynamics. Quantum brain dynamics (QBD) is a hypothesis formulated to describe the physical mechanism of memory in a brain [
10,
11]. It originates from the monumental work of Ricciardi and Umezawa in 1967 [
12]. Non-local memory storage, the mechanism of recall, and stability of memory were discussed in detail in [
13,
14]. According to the QBD hypothesis, a brain is a mixed system of classical neurons and quantum degrees of freedom. In 1968, Fröhlich suggested that Bose–Einstein condensation might occur in biological systems at the cellular level and lead to quantum coherence with long-range correlations (a so-called Fröhlich condensation phenomenon). This was determined to be theoretically possible if the frequencies of oscillating molecular dipoles are within a narrow range around the resonant frequency and the coupling constants for their mutual interactions and their interactions with the heat bath and the energy pump are sufficiently large [
15,
16]. In 1976, Davydov and Kislukha proposed a theory of solitary waves propagating along the alpha-helical structures of DNA and protein chains, whose result was a stable localized propagating wave of coupled exciton–phonon interactions referred to as the Davydov soliton [
17]. The Fröhlich condensation and the Davydov soliton emerged as static and dynamical properties, respectively, in a non-linear Schrödinger equation of an equivalent Hamiltonian [
18]. In the 1980s, Del Giudice et al. investigated a quantum field theoretical approach to biological systems [
19,
20,
21,
22]. Specifically, they introduced the quantum field theory of water rotational degrees of freedom and photons [
21]. By introducing the rotational degrees of freedom of quantum water electric dipole fields interacting with photon fields, the laser-like behaviors in quantum electrodynamics of water dipoles and photons were studied. In the 1990s, Jibu and Yasue proposed a set of concrete physical degrees of freedom in QBD, namely water electric dipole fields and photon fields [
10,
23,
24,
25,
26,
27]. Memory in QBD is envisaged as ordered patterns of dipoles aligned in the same direction owing to the breakdown of rotational symmetry. The vacua of these aligned dipoles are maintained by long-range correlations owing to the symmetry breakdown in the system of the Nambu—Goldstone quanta. Vitiello suggested that a huge capacity of memory in QBD is realized by the squeezed coherent states of Nambu–Goldstone bosons in open systems [
28]. Meanwhile, Pribram proposed the holographic brain theory to describe non-local memory storage and perception [
29,
30]. Holography is a technique for recording and reconstructing three-dimensional (3D) images achieved by electromagnetic wave interference [
31,
32]. Holography has several properties of equipotentiality and mass action because the recorded information in a hologram is robust against the damaged of parts in a hologram, and the non-damaged parts can reconstruct the recorded information.
We aimed to describe non-equilibrium QBD in the presence of quantum fluctuations in dimensions and to show how ordered patterns of holograms evolve over time. We propose the integration of the QBD and holographic brain theory. We adopt Schrodinger-like equations for coherent dipole fields and Klein–Gordon equations for coherent electric fields in non-equilibrium QBD in 3 + 1 dimensions. We consider water dipoles and photons around microtubules in the brain as a candidate of such a system which may generate super-radiance, inducing a flash of light by the cooperative spontaneous emission of radiation. The interference of two super-radiant waves induces holographic memory with optical interference patterns. We find that ordered the patterns of aligned dipoles in memory are amplified from their initial patterns by quantum fluctuations on picosecond (ps) time scales. Incoherent dipoles in the first excited state of quantum fluctuations amplify the initial ordered pattern in memory printing. The properties in open systems are significant in memory storage because the flow of dipole fields from upstream to downstream induced by external incoherent photons exciting dipoles from the ground state to first excited states is necessary for the maintenance of aligned dipoles. The optical information of hologram memory might be transferred to a whole brain using parallel information processing. Holograms might propagate in a hierarchical manner in the brain’s cortex area with optical information processing, and memory can be stored in an invariant form of memory. The auto-associative property of holograms can be useful in describing memory in a brain. If the sequences resulting from super-radiant emission are in the forward direction owing to sequences of neuron firings involving super-radiant emission, sequential properties can appear in the integration of QBD and holography. Holography and QBD will provide a promising approach regarding the study of brain memory.
This paper is organized as follows. In
Section 2, we introduce the Lagrangian density in QBD in
dimensions, and derive time evolution equations for coherent fields. In
Section 3, we show a solution of super-radiance adopted in holography and introduce a scenario of hologram memory. In
Section 4, we show numerical simulations of the breakdown of symmetry and for dynamical hologram memory. In
Section 5, we discuss our results. In
Section 6, we provide concluding remarks. We adopt the natural unit, where the light speed and the Planck constant divided by
are set to unity. We adopt the metric tensor
with space–time subscript
.
2. Lagrangian Density and Time Evolution Equations
In this section, we introduce the Lagrangian density in quantum brain dynamics (QBD) and show time evolution equations for coherent fields. The flowchart of the derivation in this section is depicted in
Figure 1. We begin with the Lagrangian density for QBD in
dimensions by referring [
21,
33]. Then, we derive a two-particle-irreducible effective action for the expectation values of quantum fields (coherent fields) and those of quantum fluctuations [
34,
35,
36]. Finally, we derive the time evolution equations for coherent fields (Schrödinger-like eqs. and the Klein–Gordon eq.) and those for quantum fluctuations called the Kadanoff–Baym equations [
37,
38,
39] by differentiating the effective action with expectation values. The derivations of terms with quantum fluctuations in the Klein–Gordon equation are given in the
Appendix A.
We show the variables and constants in
Table 1.
The Lagrangian density for QBD in
dimensions [
21,
33] is given by
where the electric dipole field is denoted by
and its complex conjugate is denoted by
in polar coordinates denoted by
, the background photon fields are denoted by
in the background field method [
40,
41,
42,
43], and its quantum fluctuations are denoted by
, the field strength is denoted by
, the gauge fixing parameter is denoted by
, the mass of dipoles is denoted by
m, the moment of inertia of dipoles
I is denoted by
(the average of the moment of inertia in three spatial dimensions of water dipoles), the dipole moment is denoted by
with elementary charge
and
and the orientation of dipoles is denoted by
.
We adopt the two-energy-level approximation for angular momentum squared
. Electric dipole fields are expanded by the dipole field for the ground state
and the dipole fields for the first excited states
as
with the spherical harmonics for the ground state
(the eigenvalue
) and the first excited states
with
(eigenvalues
) given by
We can then rewrite the fourth term in Equation (1) with the electric fields
by
where
are defined by
and we can then rewrite
We then find that the Lagrangian density is rewritten by
We then show a two-particle-irreducible (2PI) effective action [
34,
35] for the above Lagrangian density in the closed-time path (CTP)
formalism [
44,
45]. We set the gauge fixing
in the path integral in CTP. The 2PI effective action in
with path 1 from
to
∞ and path 2 from
∞ to
is given by
where the bar represents the expectation value of coherent fields,
and
are defined by
for
components and
and the Green’s functions
for quantum fluctuations of incoherent dipoles and
for quantum fluctuations of incoherent photons are given by
with
with
or the
matrix notation in
with time-order product
and anti-time-order product
and
Time evolution equations are derived by differentiating 2PI effective action by variables
,
,
and
D as
where Equations (20) and (21) are the Kadanoff–Baym equations, time evolution equations of quantum fluctuations, or Green’s functions. Equation (18) is written by
with the current terms
When we introduce
as
we can derive
owing to the conservation law
with the identity
and integration with time
. Time-independent terms interpreted as initial conditions are set to be zero. The Schrödinger-like equations (Equation (19)) are given by
and their complex conjugates. Using Equations (28) and (29), we can show the population conservation for coherent dipoles as
We shall consider the case
and
to be spatially homogeneous in the
direction. Using Equations (28) and (29) and assuming
where the energy of the translational motion of water dipoles is smaller than that of rotational motion in fixed positions of water molecules, we can derive relations
for variables, the dipole moment density in the
direction
, the population difference of coherent dipole fields
, and the time derivative of the dipole moment density
. Differentiating Equation (22) for
by time
, the time evolution equation of the coherent electric field
with
(the solution of Equation (27)) is written by
with
and
. The third term on right-hand side can be derived from the Kadanoff–Baym equations in Equation (20), as shown in
Appendix A.
We shall adopt the scaling of variables
,
,
, and
by the number of the density of water dipoles
and the dipole moment divided by 2, that is
with
and
. Using these parameters, we can derive
which corresponds to the frequency of the collective oscillation of dipoles
. We can then derive
from Equations (31)–(33), and
from Equation (34) with the term of quantum fluctuations
. The magnetic fields
and
with scaling of
obey
by the identity relation of field strength
. The scaled total coherent population squared
is conserved
as shown from Equations (36)–(38) even in the presence of terms of quantum fluctuations. The scaled energy
is written by
The integration of with 3D spatial coordinates is shown to be conserved from Equations (22) and (23) when we neglect the terms of quantum fluctuations.
5. Discussion
In this paper, we showed the time evolution towards the breakdown of symmetry and time evolution of holograms with interference patterns. This was achieved based on the time evolution equations for coherent fields, namely the Schrödinger-like equations for coherent dipole fields and the Klein–Gordon equations for coherent electric fields, in the presence of evolving quantum fluctuations derived from the Lagrangian density in QBD in 3 + 1 dimensions. We expanded quantum water dipole fields in terms of spherical harmonics and adopted a two-energy level approximation for the water dipole field in ground state
, that in the first excited states is
with
and their complex conjugates. Beginning with time evolution equations, we derived a solution for super-radiance, which is a cooperative spontaneous emission of radiation. The solution involves coherent waves from microtubules characterized by their cylindrical structures and abundantly present in all neuronal cells. The super-radiant waves propagate in a wide range by diffraction due to the small Fresnel number
for the structures of microtubules. The super-radiance solution offers a new method to achieve holographic memory with the interference patterns of reference waves and object waves reflected by objects involving the information of external stimuli. The transmission of electric fields
, with the population difference of coherent dipoles between the first excited states and the ground state
with bar representing expectation values, is expressed in terms proportional to the squared electric fields with interference patterns in recording the information in holograms. The recorded information is reconstructed by incident reference waves whose incident angle is equal to the angle in the recording. In simulations of the time evolution of interference patterns, the wavefronts of electric fields seem to be maintained and the contrasts of electric fields are amplified. The distribution of the dipole fields has a similar form to that of electric fields in
Figure 13 and
Figure 14. The transmission
with a scaled value
for the dipole moment density and proportionality constant
contains terms dependent on the distribution of electric fields
in recording information. Considering the fact that the wavefronts
are maintained with contrasts amplified and the transmission contains terms proportional to
, the strength of the reconstructed images in recalling memory increases over the time evolution of holograms.
We initially began with simulations of time evolution of coherent fields in spatially homogeneous systems. We find that the breakdown of rotational symmetry emerges in time evolution with terms for quantum fluctuations derived in
Appendix A. In our simulations, the positive values of the population difference of incoherent dipoles, namely the inverted population of incoherent dipoles where the population of incoherent dipoles in the first excited state is larger than that in the ground state in two-energy systems expressed by
with
which represent populations of incoherent dipoles for the first excited state 00 and the ground state
, play a significant role in the breakdown of rotational symmetry. Dipole fields can be energy sources for coherent electric fields. We show leading-order processes of interactions in the coupling expansion in
Figure 16 where
Figure 16a represents processes between electric fields and incoherent dipoles, and
Figure 16b represents the process of incoherent dipoles in the ground state absorbing incoherent photons and excited by the first excited states (the inverse process is also possible). By adopting open systems, we can consider the flow of incoherent photons and exciting dipoles in the ground state to the first excited states as in
Figure 16b. Incoherent dipoles in the first excited states amplify electric fields in an inverted population as shown in
Figure 16a. Meanwhile, electric fields oscillate in the normal population
. The
represents the threshold determining the amplification or oscillation of electric fields in spatially homogeneous systems. We can also discuss the values of electric fields in
Figure 4 for which the dipole moment density
becomes saturated in
Figure 6. Water dipoles are found to be all aligned approximately for
E3 > 1000 MeV/m in our approach based on quantum field theory (QFT). In the preceding work [
49], the critical value of the external electric field inducing aligned water dipoles was determined as 800 MeV/m. We can observe that our approach provides a value of electric fields for the alignment of water dipoles similar to the value in the preceding work even if we adopt several approximations, namely an isotropic moment of inertia, a two-energy level approximation, rigid dipoles without the stretching of O–H bonds, and situations neglecting hydrogen bonding among water molecules.
Linear dependence between the logarithm of transmission
and the logarithm of electric fields
is observed in
Figure 7. The transmission is dependent on processes of
when
is fluctuating at approximately zero. As
increases exponentially, we find the relation between transmission and
independent of processes. Even if electric fields for interference patterns are small at the initial time, they are amplified due to incoherent dipoles in the inverted population. Subsequently, transmission which is linearly dependent on amplified electric fields involving initial interference patterns is achieved in the course of time evolution. We can adopt this linear dependence for hologram memory formation.
Why is the waveform in the hologram shown in
Figure 13 maintained? We can explain the reason by referring to the structure of the Klein–Gordon Equation (34). We find that the equation has the following terms
with a collective mode
. We assume that the population difference of incoherent dipoles
is positive and sufficiently large compared with the absolute value of the curvature or spatial frequency squared of electric fields
emerging from the Laplacian operating on the electric fields. The
represents the deviation of curvature from
in
. The larger the bracket in the above equation
is, the more rapidly electric fields
increase in the course of time evolution. When the deviation
becomes large for the parts of interference patterns with
or their absolute value of the curvature becomes large, the
becomes smaller and the increase in parts in
becomes moderate compared with the other parts in
. Similarly for the deviation
, the parts in
increase more rapidly than the other parts. As a result, the waveform in the hologram is maintained.
In this work, we adopted a two-dimensional flat surface with periodic boundary conditions. There are various structures in morphology, that is torus, cylindrical or spherical structures with curvatures representing dendrite, cell body and axion in a brain. In these structures, we can investigate the Laplacian with derivatives in perpendicular directions to electric fields in the Klein–Gordon equation. When electric fields are in the direction perpendicular to the surfaces of cylindrical structures, the derivatives of the Laplacian is in the direction parallel to the surfaces. Then, for the zero-points of electric fields with integer n and the variable of angle , the Laplacian is zero, so that electric fields in these zero-points remain zero. Except in those zero points, electric fields can be amplified in a similar way to a flat two-dimensional surface. The dipole moment density can be aligned in the same directions as electric fields in cylindrical structures. We can also discuss the various morphology of microtubules. When the diameter of microtubules becomes larger, the number of correlated water dipoles increases inside microtubules, but the amplitude of super-radiance does not change in Equation (64) since it depends on the number density of water dipoles. The critical factor is the length L of microtubules. The larger the length is, the smaller is, so that the amplitude of super-radiance will increase since that is proportional to the length. The length of microtubules affects the initial electric fields in the interference patterns of holography. In addition, the number of microtubules becomes larger, the diverse angles and sources of super-radiant emission will be achieved, and the capacity of hologram memory can increase.
We consider memory printing and information processing induced by external stimuli in QBD and holography. The candidate of initial external objects might be phosphorylated tubulins [
1] and ionic bio-plasma around microtubules, for example, in V1 for visual information. External objects in V1 are irradiated by super-radiant waves. Then, the interference patterns of reference and object waves are produced as holographic patterns. Once these optical patterns of holography are produced, they propagate in a brain with the other super-radiant waves from neurons in a higher visual cortex with parallel information processing. The strength and angle will be determined by the distances and geometry in the propagation of the visual cortex, which is the strength and angle of super-radiance that depend on the distance of propagation and the direction of information processing in the cortex.
In conventional neuroscience, we consider long-term potentiation (LTP) as a result of neurotransmitter-receptors as the mechanism of long-term memory. Our approach can connect the LTP and holographic approach with super-radiant waves. We shall consider the firing of a single neuron and subsequent super-radiant emissions. There can be various angles of super-radiant emissions as reference waves inducing the reconstruction of multiple holographic images. In considering the firing of two neurons interconnected by LTP with synchrony, the common reconstructed image can emerge in both printing and recalling, and then the amplitude of that image is twice that of the other images. Similarly, due to the firing of N multiple neurons with synchrony and subsequent super-radiant emissions, the amplitude of the common image is N times larger than that of the other images regarded as noises. As a result of LTP and subsequent super-radiant emission, the synchrony can induce the common holographic image in printing and recalling whose amplitude might be proportional to the number of neurons with synchrony.
We adopt the QFT approach involving the field variables of space–time coordinates. The QFT approach can be regarded as the generalization of multi-oscillator systems. In [
50,
51,
52,
53], the sets of oscillators with a mutual relationship with temporal synchrony for binding and robustness in conscious perception against inherent noise are reported. Similarly, we can consider the mass-spring system of oscillators with an infinite number of point-masses and spring among (neighboring) them in the continuum limit. This physical system will be represented by field variables defined in each space–time in QFT including strings, cloths, or boxes. The QFT with an infinite number of degrees of freedom can provide the Bose–Einstein condensation where massless Nambu–Goldstone bosons are condensed in the zero-energy state resulting in the binding of quantum degrees of freedom in the physical system where they behave as a single entity. The QFT generalized from oscillators can provide the binding of quantum degrees of freedom and synchrony in the physical system. The QFT might provide an answer to the binding problem in neuroscience.
Our approach can provide relations with a split brain study suggested in [
54,
55]. Among the consequences of cutting the corpus callosum, the breakdown of functional integration between the left and right hemispheres is reported. We assume that the brain is a mixed system of classical neurons and quantum degrees of freedom. Connections among neurons play a role in synchrony. In the split brain, although memory is not lost in each hemisphere due to the diffused non-local nature of memory, the synchrony among neurons is lost. Due to the loss of connections, the simultaneous neuron firing and synchrony of subsequent super-radiant emissions will disappear.
We can adopt parallel information processing in the hologram memory of QBD, where the processing is optically achieved in each point of the hologram through propagation in space. The optical information of a hologram memory might be transferred with the filtering of the hologram or processing in propagation through a hierarchy in the neocortex. (The digital–analog conversion with filtering is proposed in [
56].) Hologram memory might propagate in the hierarchy and can be stored in an invariant form of memory. In storing information in the hologram, we do not necessarily adopt sine functions for transmission. We can also adopt step-function-like storage, where coherent domains with dipoles are all aligned and incoherent domains with dipoles whose directions are random are distributed as spatially inhomogeneous patterns after optical information processing. The difference between sine functions and step functions is one of efficiency. This denotes the percentage of incident reference beam used to reconstruct the object image. The holograms for long-term memory might be stored as step functions with coherent domains and incoherent domains and be diffused in a whole brain to achieve the equipotentiality and the mass action. When we consider step-function-like storage, we can then adopt the vacua emerging in the breakdown of rotational symmetry. The vacua are long-range correlations maintained by massless Nambu–Goldstone bosons, indicating robustness against disturbance. We find several stable examples of the breakdown of symmetry in our daily life. For example, magnets are maintained by magnons in the breakdown of symmetry and crystals are maintained by phonons in room temperature. We just simply propose to adopt the macroscopic order emerging in the breakdown of symmetry in quantum field theory (QFT) in QBD and holography. The QFT, the fundamental theory of the nature describes both macroscopic matter (including macroscopic order in the breakdown of symmetry) in classical mechanics and microscopic degrees of freedom in quantum mechanics. The QFT approach is different from other quantum mechanical approaches, such as Penrose–Hameroff theory [
57]. The quantum mechanics cannot be applied to macroscopic matter. The robustness against damage in a brain is achieved in hologram memory. The whole image can be recreated from undamaged parts in hologram memory even if parts of the hologram are damaged. We can represent sequential characters of hologram memory. When patterns of incident super-radiant emission are sequential, this may be related to neuron firing and subsequent super-radiant beams in sequential properties—we recall memory as sequential patterns. We can also achieve the auto-associative character of memory in a brain by adopting hologram memory in QBD, where the entire memory is recreated from fragments of memory. When two object images are recorded on the same hologram and the reflected light by one of the object images extends to the hologram, the other object image is recreated by the light.