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.

Your Brain as Math: Part 1

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.

Simplicial Complexes: Part 2

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??

Your Mind Is Eight-Dimensional: Part 3

Last episode, we learned that your brain can be modeled as a simplicial complex. And algebraic topology can tell us the Betti numbers of that simplicial complex. Why is that helpful? Let’s find out.

Cosmic Queries: Minds and Machines

“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

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