Hilbert space structure is assumed as a valid geometric description for neurodynamics, i.e., for applying any kind of quantum formalism in brain dynamics. The orientation selectivity of the neurons is used as a justification to construct a type of statistical distance function which is proportional to the usual distance (or angle) between orientations of the neurons. The equivalence between the statistical distance and the Hilbert-space distance is discussed within this framework. It gives rise to the possibility of reanalysing the issue of measurement and information processing in the brain function
The two-sided Lagrange-Sylvester interpolation problem is solved in the framework of H2 functions. T...
We construct coisometric and quasi-coisometric realizations for transfer operators of multiscale cau...
We derive the weak value deflection given in an article by Dixon et al. [P. B. Dixon et al. Phys. Re...
The recent controversy of applicability of quantum formalism to brain dynamics has been critically a...
The authors discuss the possibility that the brain and the cosmos mirror each other on small and lar...
The authors discuss the possibility that the brain and the cosmos mirror each other on small and lar...
The Orthodox Interpretation of quantum mechanics, as developed by many physicists, particularly John...
We study a reproducing kernel Hilbert space of functions defined on the positive integers and associ...
The Orthodox Interpretation of quantum mechanics, as developed by many physicists, particularly John...
Using reproducing kernel Hilbert spaces methods we develop a Schur-type algorithm for a subclass of ...
We solve Gleason\u27s problem in the reproducing kernel Hilbert spaces with reproducing kernels 1/(1...
It is shown that the codewords of the binary and ternary Golay codes can be converted into rays in R...
Quantum optics and classical optics are linked in ways that are becoming apparent as a result of num...
We use the theory of reproducing kernel Hilbert spaces to solve a Carathéodory–Fejér interpolation p...
Quantum buffers will be an essential part of quantum-information networks. A buffer that can preserv...
The two-sided Lagrange-Sylvester interpolation problem is solved in the framework of H2 functions. T...
We construct coisometric and quasi-coisometric realizations for transfer operators of multiscale cau...
We derive the weak value deflection given in an article by Dixon et al. [P. B. Dixon et al. Phys. Re...
The recent controversy of applicability of quantum formalism to brain dynamics has been critically a...
The authors discuss the possibility that the brain and the cosmos mirror each other on small and lar...
The authors discuss the possibility that the brain and the cosmos mirror each other on small and lar...
The Orthodox Interpretation of quantum mechanics, as developed by many physicists, particularly John...
We study a reproducing kernel Hilbert space of functions defined on the positive integers and associ...
The Orthodox Interpretation of quantum mechanics, as developed by many physicists, particularly John...
Using reproducing kernel Hilbert spaces methods we develop a Schur-type algorithm for a subclass of ...
We solve Gleason\u27s problem in the reproducing kernel Hilbert spaces with reproducing kernels 1/(1...
It is shown that the codewords of the binary and ternary Golay codes can be converted into rays in R...
Quantum optics and classical optics are linked in ways that are becoming apparent as a result of num...
We use the theory of reproducing kernel Hilbert spaces to solve a Carathéodory–Fejér interpolation p...
Quantum buffers will be an essential part of quantum-information networks. A buffer that can preserv...
The two-sided Lagrange-Sylvester interpolation problem is solved in the framework of H2 functions. T...
We construct coisometric and quasi-coisometric realizations for transfer operators of multiscale cau...
We derive the weak value deflection given in an article by Dixon et al. [P. B. Dixon et al. Phys. Re...