Integrated Information Theory is one of the leading models of consciousness. It aims to describe both the quality and quantity of the conscious experience of a physical system, such as the brain, in a particular state. In this contribution, we propound the mathematical structure of the theory, separating the essentials from auxiliary formal tools.
This article describes some recent experimental and theoretical work in China, including successful attempts to train ESP abilities in blind children. It has been contributed by Professor Yi-Fang Chang, a physicist at China’s Yumman University.
Dunabu wrote: The nature and ramifications of the “aether” by which telepathy is possible. Long story short, I’ve finally tapped into this thing, but I understand very little of its nature. What is it? All energy? Does this prove consciousness is a non-local phenomena? Is death even really real?… …By the way, anyone have any legit books or resources about telepathy/psionics? I must learn more theory and know everything!… I wrote: Dunabu wrote: …by which telepathy is possible… Does this prove consciousness is a non-local phenomena? Is death even really real?… I am a telepath and I work in Biotechnology. Read More
Cytoscape is an open source software platform for visualizing molecular interaction networks and biological pathways and integrating these networks with annotations, gene expression profiles and other state data. Although Cytoscape was originally designed for biological research, now it is a general platform for complex network analysis and visualization. Cytoscape core distribution provides a basic set of features for data integration, analysis, and visualization.
Several philosophical problems arising from the physics of consciousness, including identity, duplication, teleportation, simulation, self-location, and the Boltzmann Brain problem, hinge on one of the most deeply held but unnecessary convictions of physicalism: the assumption that brain states and their corresponding conscious states can in principle be copied. In this paper I will argue against this assumption by attempting to prove the Unique History Theorem, which states, essentially, that conscious correlations to underlying quantum mechanical measurement events must increase with time and that every conscious state uniquely determines its history from an earlier conscious state.
Gephi is an open-source software for network visualization and analysis. It helps data analysts to intuitively reveal patterns and trends, highlight outliers and tells stories with their data. It uses a 3D render engine to display large graphs in real-time and to speed up the exploration. Gephi combines built-in functionalities and flexible architecture to: explore, analyze, spatialize, filter, cluster, manipulate, export. Gephi is based on a visualize-and-manipulate paradigm which allow any user to discover networks and data properties. Moreover, it is designed to follow the chain of a case study, from data file to nice printable maps.
In order to dive deeper into an exciting topic, we’re mixing up the format. Over the next three days, we’ll spend the next three episodes exploring an incredible application of seemingly purely-abstract mathematics: how algebraic topology can help us decode the connections among neurons in our brains, to help us understand their function.
Last episode we saw that your neural network can be modeled as a graph, which — we’ll show in this episode — can be viewed as a higher-dimensional simplicial complex. So… what is a simplicial complex??
“We must consider this question, can machines think?” Alan Turing asked that question many years ago, but these days that question is taking on a whole new dimension. On this episode of StarTalk Radio, Neil deGrasse Tyson, comic co-host Chuck Nice, and neuroscientist Gary Marcus answer fan-submitted Cosmic Queries on the intersection of minds and machines. You’ll learn what distinguishes the human mind from the minds of other mammals. Explore the mysteries of memory and the future of memory storage. You’ll also learn how humans have “context addressable memory” whereas computers have “location addressable memory.” Find out more about human Read More