Verify your mind´s capabilitys in a new innovative way.
Train your mental focus through repeated exercising.
Explore boundaries of human conciousness for yourself.
What is M.I.N.D.
The M.I.N.D. (Mind Influence Notification Device) is a high-resolution sensor based on electrochemical impedance spectroscopy. This very sensitive device represents a tool for empirical research of the human mind and consciousness.
The main objective of M.I.N.D. exercises is to interact distantly with a physical object by means of your mind. This device serves as a measurement sensor with numerical and statistical analysis of results.
Who can use this ?
Everybody can exercise one´s mind. Therefore people like sportsman, entrepreneurs or Buddhist monks involve various types of mind training in their daily routines. The M.I.N.D. technology uses a high-tech approach for providing real-world feedback that significantly improves this training.
Judge for yourself
We encourage everybody to verify and to test own capabilities by systematic training. We provide the technology and methodology as much transparent, scientific and modern as possible.
How to use it
User manual in four steps
Fill up the water, connect to a remote PC/laptop, start measurements and leave in a separate closed and dark room for 12-24 hours. The system is ready at any time for experiments over the next few weeks. As an alternative or for demonstration purposes, use multiple pre-installed systems, running at different host locations on the internet.
Test and training sessions are similar to meditation. Concentrate your attention on the real-time graphic or water containers and undertake a mental effort to change the dynamics of one water container. The other is used as a control container. Try for example Reiki, meditation or any other approach. Repeat at least 10-15 sessions before making any conclusions.
Each session lasts 30 minutes. The system automatically processes the data and displays it on a graph in real time. The M.I.N.D. value shows how much the dynamics during the session differs from the dynamics before the session. Every 30 minutes, it is recorded in a table of results. The result is significant if it is over the average level of the last 24 hours and at least 3 times larger than the dynamics before the session.
The system calculates the probability of obtaining such a result randomly. The higher is the M.I.N.D. value and the lower is its "random" probability, the better is the final result. Note that several positive sessions in a row have a very low "random" probability - such a result is almost impossible to obtain in the form of random events.
What is inside ?
The ARM-based processor with digital and analog periphery uses a real-time operating system. The device has multiple embedded sensors and records environmental conditions during experiments. It has a USB data interface (WLAN, Ethernet connectivity is possible via external device server) and is fully autonomous for weeks of measurements.
Water represents the main sensor element. The ionic dynamics of fluids reflects different quantum and molecular processes that, among others, involve macroscopic entanglement in physical and biological systems. Electrodes allow measuring the ionic dynamics through an electric current and include high-resolution temperature sensors and optical excitation in visible and infrared ranges.
The measured signals have a weak and ultra-weak character. Therefore, the measurement system should be protected from environmental influences, in particular, from fluctuations of temperature. The neopor container with gel aggregates provides an acceptable level of thermal variations and is used for passive thermostabilization of the system.
The involved M.I.N.D. phenomena, as currently proposed in scientific publications, are based on macroscopic entanglement in biological systems. They have a strong probabilistic character. The analysis involves several different approaches: analysis of electrochemical noise, nonlinear regression analysis, and statistical evaluations. In particular, the system calculates the probability of obtaining results due to a random occurrence. Only statistically significant results are provided to users.
All the publications of the background work are listed here.
Vedral, Quantifying entanglement in macroscopic systems. Nature, 453:1004-7, 2008
F. Ockeloen-Korppi et al. Stabilized entanglement of massive mechanical oscillators, Nature, 556: 478–482, 2018
C. Lee et al. Entangling macroscopic diamonds at room temperature. Science, 334, 6060:1253-1256, 2011
M. Wang et al. Macroscopic quantum entanglement in modulated optomechanics. Phys Rev A, 94:053807, 2016
Sperling, I.A.Walmsley. Entanglement in macroscopic systems. Phys Rev A (2017); 95: 062116, 2017
A. Palomaki et al. Entangling mechanical motion with microwave fields. Science 342: 710–713, 2013
Shi et al. Generation of photonic entanglement in green fluorescent proteins. In Nature Communications 2017; 8: 1934, 2017
Koch, K.Hepp, Quantum mechanics in the brain. Nature 440: 611, 2006
Marletto et al. Entanglement between living bacteria and quantized light witnessed by rabi splitting. J. of Physics Communications, 2(10): 101001, 2018
Shi et al. Photon Entanglement Through Brain Tissue, Scientific Reports, 6: 37714, 2016
Yan et al. Structure and property changes in certain materials influenced by the external Qi of Qigong. Mat. Res. Innovat. 2:349–359, 1999
Conferences on this topic