être et conscience
Quand on n'attend rien, on peut être soi-même. C'est notre voie, vivre pleinement chaque instant. Quand vous vivez complètement chaque instant sans rien attendre, vous n'avez aucune notion du temps.
Why I Miss Being A Born-Again Christian
Roger Penrose
Sir Roger Penrose OM FRS (born 8 August 1931), is an English mathematical physicist, mathematician and philosopher of science. He is the Emeritus Rouse Ball Professor of Mathematics at the Mathematical Institute of the University of Oxford, as well as an Emeritus Fellow of Wadham College. Penrose is known for his work in mathematical physics, in particular for his contributions to general relativity and cosmology. He has received a number of prizes and awards, including the 1988 Wolf Prize for physics, which he shared with Stephen Hawking for their contribution to our understanding of the universe.[1] Early life and academia[edit] As a student in 1954, Penrose was attending a conference in Amsterdam when by chance he came across an exhibition of Escher's work. In 1967, Penrose invented the twistor theory which maps geometric objects in Minkowski space into the 4-dimensional complex space with the metric signature (2,2). A Penrose tiling Later Activity[edit] An earlier universe[edit] Prof.
Neurophysics
Neurophysics (or neural physics) is the branch of biophysics dealing with the nervous system including the brain and the spinal cord and the nerves. The term is a portmanteau of neurology and physics, to represent an emerging science which investigates the fundamentally physical basis for the brain, hence the basis for cognition. The field covers a wide spectrum of phenomena from molecular and cellular mechanisms to techniques to measure and influence the brain and to theories of brain function. It can be viewed as an approach to neuroscience that is based on solid understanding of the fundamental laws of nature. See also[edit] Books[edit] External links[edit]
Quantum Approaches to Consciousness
1. Introduction The problem of how mind and matter are related to each other has many facets, and it can be approached from many different starting points. Of course, the historically leading disciplines in this respect are philosophy and psychology, which were later joined by behavioral science, cognitive science and neuroscience. In addition, the physics of complex systems and quantum physics have played stimulating roles in the discussion from their beginnings. As regards the issue of complexity, this is quite evident: the brain is one of the most complex systems we know. The original motivation in the early 20th century for relating quantum theory to consciousness was essentially philosophical. Quantum theory introduced an element of randomness standing out against the previous deterministic worldview, in which randomness, if it occurred at all, simply indicated our ignorance of a more detailed description (as in statistical physics). 2. [ma] [me] 3. 3.1 Neuronal Assemblies 4. 5.
How To Lucid Dream Tonight – How To Lucid
Lucid Dreaming is the ability to be aware of your dreams, and control them. I know, I know: You want to know how to lucid dream right now, easily, don’t you? Lots of people do. Before we go any further, this is going to be a fairly long post, so feel free to bookmark it if you want to come back to it later. To get more of a background on it, read our introduction. Now that that’s out of the way, we can start talking about the easy way to lucid dream tonight. So it’s about having one tonight, with as little practice as possible, for the people who want results fast. Will this be your first Lucid Dream? Something to consider before we dive in is whether this is your first lucid dream or not. If you’re looking for a way to lucid dream tonight and it’s your very first one, (how exciting!) It’s no more dangerous than just going to sleep normally, but emotionally, you may experience things you aren’t prepared for. How To Have a Lucid Dream Tonight guaranteed* *Almost. Step 4 – Set your alarm
Radioactive decay
Alpha decay is one example type of radioactive decay, in which an atomic nucleus emits an alpha particle, and thereby transforms (or 'decays') into an atom with a mass number decreased by 4 and atomic number decreased by 2. Many other types of decays are possible. Radioactive decay, also known as nuclear decay or radioactivity, is the process by which a nucleus of an unstable atom loses energy by emitting particles of ionizing radiation. Radioactive decay is a stochastic (i.e. random) process at the level of single atoms, in that, according to quantum theory, it is impossible to predict when a particular atom will decay.[1] However, the chance that a given atom will decay is constant over time. There are many different types of radioactive decay (see table below). The first decay processes to be discovered were alpha decay, beta decay, and gamma decay. By contrast, there are radioactive decay processes that do not result in transmutation. Discovery and history[edit] Types of decay[edit]
Computational neuroscience
Computational neuroscience is the study of brain function in terms of the information processing properties of the structures that make up the nervous system.[1] It is an interdisciplinary science that links the diverse fields of neuroscience, cognitive science, and psychology with electrical engineering, computer science, mathematics, and physics. Computational neuroscience is distinct from psychological connectionism and from learning theories of disciplines such as machine learning, neural networks, and computational learning theory in that it emphasizes descriptions of functional and biologically realistic neurons (and neural systems) and their physiology and dynamics. These models capture the essential features of the biological system at multiple spatial-temporal scales, from membrane currents, proteins, and chemical coupling to network oscillations, columnar and topographic architecture, and learning and memory. History[edit] Major topics[edit] Single-neuron modeling[edit]
