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Unfortunately, even if quantum-based theories eventually mature from metaphor to genuine models of psi, they are still unlikely to provide intuitively satisfying mechanisms for psi because quantum theory fails to provide intuitively satisfying mechanisms for physical reality itself.
originally posted by: antigua
a reply to: neoholographic
Hubris.
The body is hardware. The consciousness is software.
The reason why there's such resistence to quantum mechanics having anything to do with the brain or consciousness, is because it blows a materialist/atheist worldview out of the water
Superconductivity is a phenomenon of exactly zero electrical resistance and expulsion of magnetic flux fields occurring in certain materials when cooled below a characteristic critical temperature. It was discovered by Dutch physicist Heike Kamerlingh Onnes on April 8, 1911 in Leiden. Like ferromagnetism and atomic spectral lines, superconductivity is a quantum mechanical phenomenon. It is characterized by the Meissner effect, the complete ejection of magnetic field lines from the interior of the superconductor as it transitions into the superconducting state. The occurrence of the Meissner effect indicates that superconductivity cannot be understood simply as the idealization of perfect conductivity in classical physics.
Chinese scientists have proposed a new theory that explains why humans are so much more intelligent than animals even though our brains are often much smaller than those of other species.
According to the South China Morning Post, in their latest study, Dai and his colleagues sliced tissue samples from the brains of a bullfrog, mouse, chicken, pig, monkey and human. The neurons, still alive in the culture dish, were then stimulated with glutamate and the photons recorded with specially-built sensors. They observed the spectral redshift, or the change of light waves from higher to lower energy levels. Human brain tissue showed the lowest energy photons, followed by the monkey, pig, chicken and mouse, with the frog at the highest level.
originally posted by: DaRAGE
Chinese scientists have proposed a new theory that explains why humans are so much more intelligent than animals even though our brains are often much smaller than those of other species.
According to the South China Morning Post, in their latest study, Dai and his colleagues sliced tissue samples from the brains of a bullfrog, mouse, chicken, pig, monkey and human. The neurons, still alive in the culture dish, were then stimulated with glutamate and the photons recorded with specially-built sensors. They observed the spectral redshift, or the change of light waves from higher to lower energy levels. Human brain tissue showed the lowest energy photons, followed by the monkey, pig, chicken and mouse, with the frog at the highest level.
So they start off with proposing a new theory about how humans are so much more intelligent than even animals with larger brains than humans, but then test their theory on animal brain tissue of which all the animals have smaller brains than humans.
I'd call that theory non-validated ;-p
originally posted by: neoholographic
This is such a dishonest post. This is why you only posted half of the first paragraph. Let me post in in full.
Chinese scientists have proposed a new theory that explains why humans are so much more intelligent than animals even though our brains are often much smaller than those of other species. Researchers at the Wuhan Institute of Neuroscience and Neuro-engineering have previously carried out studies backing the theory that the brain not only processes and passes on information not only through electrical and chemical signals, but also with photons of light.
The new theory isn't about the size of the brain. We have already known for years that size of the brain doesn't equate to intelligence. The new theory explains why this is the case and how the brain passes on information via photons of light and how humans can do this more efficiently using lower energy.
Stop being dishonest and cherry picking quotes from the article out of context.
“Interestingly, we found that the chicken exhibits more redshift than the mouse, raising the question of whether chickens hold higher cognitive abilities than those of mice,” the researchers wrote in their paper published in the Proceedings of the National Academy of Sciences in the United States.
Chaos theory is the study of nonlinear dynamics, in which seemingly random events are actually predictable from simple deterministic equations. In a scientific context, the word chaos has a slightly different meaning than it does in its general usage as a state of confusion, lacking any order.
Scientific evidence for psychic powers?
A respected peer-reviewed journal in psychology, The Journal of Personality and Social Psychology, is about to publish a paper that presents scientific evidence for precognition. The paper, by Daryl Bem of Cornell University, is called “Feeling the future: Experimental evidence for anomalous retroactive influences on cognition and affect,” and you can download a preprint on his webpage. I’ve scanned the paper only briefly, and am posting about it in hopes that some of you will read it carefully and provide analyses, either here or elsewhere.
The paper purports to show that a choice that you make in a computer test can be influenced by stimuli you receive after you’ve already made the choice. This implies you have some way, consciously or unconsciously, of detecting things that haven’t yet happened. In an article in Psychology Today, “Have scientists finally discovered evidence for psychic phenomena?“, psychologist Melissa Burkley at Oklahoma State University summarizes two of Bem’s studies:
Chinese scientists have proposed a new theory that explains why humans are so much more intelligent than animals even though our brains are often much smaller than those of other species. Researchers at the Wuhan Institute of Neuroscience and Neuro-engineering have previously carried out studies backing the theory that the brain not only processes and passes on information not only through electrical and chemical signals, but also with photons of light.
Abstract
The processing of neural information in neural circuits plays key roles in neural functions. Biophotons, also called ultra-weak photon emissions (UPE), may play potential roles in neural signal transmission, contributing to the understanding of the high functions of nervous system such as vision, learning and memory, cognition and consciousness. However, the experimental analysis of biophotonic activities (emissions) in neural circuits has been hampered due to technical limitations. Here by developing and optimizing an in vitro biophoton imaging method, we characterize the spatiotemporal biophotonic activities and transmission in mouse brain slices. We show that the long-lasting application of glutamate to coronal brain slices produces a gradual and significant increase of biophotonic activities and achieves the maximal effect within approximately 90 min, which then lasts for a relatively long time (>200 min). The initiation and/or maintenance of biophotonic activities by glutamate can be significantly blocked by oxygen and glucose deprivation, together with the application of a cytochrome c oxidase inhibitor (sodium azide), but only partly by an action potential inhibitor (TTX), an anesthetic (procaine), or the removal of intracellular and extracellular Ca2+. We also show that the detected biophotonic activities in the corpus callosum and thalamus in sagittal brain slices mostly originate from axons or axonal terminals of cortical projection neurons, and that the hyperphosphorylation of microtubule-associated protein tau leads to a significant decrease of biophotonic activities in these two areas. Furthermore, the application of glutamate in the hippocampal dentate gyrus results in increased biophotonic activities in its intrahippocampal projection areas. These results suggest that the glutamate-induced biophotonic activities reflect biophotonic transmission along the axons and in neural circuits, which may be a new mechanism for the processing of neural information.