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The Functional Holography analysis method was first introduced in 2004 by Itai Baruchi and Eshel Ben-Jacob, for analysis of recorded human brain activity. The term hologram stands for “whole”—holo in Greek, plus “information” or “message”—gram in Greek. In a holographic photography, the information describing a 3D object is ...
Germine's theory is similar to other theories of holographic consciousness, but he elaborates on it by drawing on Jason Brown's theory of microgenesis. Microgenetic theory applies an evolutionary paradigm to the development of ideas, concepts, and mental constructs, which Germine applies to theorizing the evolutionary origins of consciousness. [25]
It is possible to make holograms of much less stable objects by using a pulsed laser which produces a large amount of energy in a very short time (μs or less). [7] These systems have been used to produce holograms of live people. A holographic portrait of Dennis Gabor was produced in 1971 using a pulsed ruby laser. [1]: Figure 4.5, p44 [8]
The hologram keeps the information on the amplitude and phase of the field. Several holograms may keep information about the same distribution of light, emitted to various directions. The numerical analysis of such holograms allows one to emulate large numerical aperture, which, in turn, enables enhancement of the resolution of optical microscopy.
Holonomic brain theory is a branch of neuroscience investigating the idea that consciousness is formed by quantum effects in or between brain cells. Holonomic refers to representations in a Hilbert phase space defined by both spectral and space-time coordinates. [1]
It involves generating holographic interference patterns. A computer-generated hologram can be displayed on a dynamic holographic display, or it can be printed onto a mask or film using lithography. [1] When a hologram is printed onto a mask or film, it is then illuminated by a coherent light source to display the holographic images.
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The NTU RGB-D (Nanyang Technological University's Red Blue Green and Depth information) dataset is a large dataset containing recordings of labeled human activities. [1] This dataset consists of 56,880 action samples containing 4 different modalities (RGB videos, depth map sequences, 3D skeletal data, infrared videos) of data for each sample.