Decades of research into the anomalous phenomenon of consciousness-correlated collapse of random systems has supported the contention that human intention appears capable of eliciting significant deviations within these external systems. The following series of experiments was conducted in order to identify potential physical factors which might play a role in the consciousness-correlated effects on a random event generator device. Transcerebral application of a specific physiologically-patterned electromagnetic field was found to enhance the occurrence of this consciousness-mediated interaction. Furthermore, immersing the test area in electromagnetic ‘noise’ appears to interfere with the apparent effects of intention. Subsequent analyses were conducted in order to examine the potential contributions of gravitational sources on this phenomenon. Cerebral biophoton emission was also examined which determined that biophotons are related to the output of a proximal random event generator within both time and frequency domains. This initial series of experiments revealed a seemingly integral temporal component in this form of experiment which occurs at approximately 2 minutes into the test phase. Finally, space weather factors were examined for potential associations with the random event generator phenomenon which revealed a number of significant relationships that may contribute to this process. An artificial neural network was then constructed in order to predict values of geomagnetic activity for future experiments. These results may be among the first to quantitatively identify the probable energies and physical parameters associated with successful consciousness-mediated non-local interaction with an external system.

In nature we find many instances of complex behavior for example the dynamics of stock markets, power grids, internet networks, highway traffic, social networks, heartbeat dynamics, neural dynamics, dynamics of living organisms, etc. The study of these complex systems involves the use of tools of non-linear dynamics and non-equilibrium statistical physics. This dissertation is devoted to understanding two different sources of complex behavior – non-poissonian renewal events also called crucial events and infinite memory of fractional Brownian motion. They both generate 1/f noise frequency spectrum. Thus, we studied examples of both processes and also their joint action. We also tried to establish the role of crucial events in biological and physiological processes like biophoton emission during the germination of seeds, the dynamics of heartbeat and neural dynamics. Using a statistical method of analyzing the time series of bio signals we were able to quantify the complexity associated with the underlying dynamics of these processes. Finally, we adopted a model that unifies both crucial events and memory fluctuations to study the rhythmic behavior observed in heart rate variability of people during meditation. We were able to also quantify the level of stress reduction during meditation. The work presented in this dissertation may help us understand the communication and transfer of information in complex systems.