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Introduction to Focus Issue: Complex Cardiac Dynamics

October 21, 2017 by Complexity Digest   Comments (0)

Even after over a century of active research, the heart continues to reveal new complexities in behavior and remains difficult to understand fully. Multi-scale dynamics ranging from cellular and subcellular behavior to chambers of the heart and the full organ make analysis complicated. In addition, different types of heart functions, including electrical wave signaling, mechanical contraction, and blood flow, present separate challenges. Theory, numerical modeling, and experiments provide...

Compressibility, laws of nature, initial conditions and complexity

October 21, 2017 by Complexity Digest   Comments (0)

We critically analyse the point of view for which laws of nature are just a mean to compress data. Discussing some basic notions of dynamical systems and information theory, we show that the idea that the analysis of large amount of data by means of an algorithm of compression is equivalent to the knowledge one can have from scientific laws, is rather naive. In particular we discuss the subtle conceptual topic of the initial conditions of phenomena which are generally incompressible. Starting...

This Week on TRB

October 21, 2017 by The Reformed Broker   Comments (0)

These were the most read posts on the site this week, in case you missed it:...

Identifying Self-Organization and Adaptability in Complex Adaptive Systems

October 20, 2017 by Complexity Digest   Comments (0)

Self-organization and adaptability are critical properties of complex adaptive systems (CAS), and their analysis provides insight into the design of these systems, consequently leading to real-world advancements. However, these properties are difficult to analyze in real-world scenarios due to performance constraints, metric design, and limitations in existing modeling tools. Several metrics have been proposed for their identification, but metric effectiveness under the same experimental...

The misleading narrative of the canonical faculty productivity trajectory

October 20, 2017 by Complexity Digest   Comments (0)

Scholarly productivity impacts nearly every aspect of a researcher’s career, from their initial placement as faculty to funding and tenure decisions. Historically, expectations for individuals rely on 60 years of research on aggregate trends, which suggest that productivity rises rapidly to an early-career peak and then gradually declines. Here we show, using comprehensive data on the publication and employment histories of an entire field of research, that the canonical narrative of...

Clips From Today’s Halftime Report

October 20, 2017 by The Reformed Broker   Comments (0)

General Electric will be relevant again, just not this year: Trader from CNBC. The homebuilder Citi says to buy…and the name investors should avoid from CNBC. Texas Instruments, Nvidia, Cisco & Regional Banks from CNBC....

Network control principles predict neuron function in the Caenorhabditis elegans connectome

October 20, 2017 by Complexity Digest   Comments (0)

Recent studies on the controllability of complex systems offer a powerful mathematical framework to systematically explore the structure–function relationship in biological, social, and technological networks1, 2, 3. Despite theoretical advances, we lack direct experimental proof of the validity of these widely used control principles. Here we fill this gap by applying a control framework to the connectome of the nematode Caenorhabditis elegans4, 5, 6, allowing us to predict the...

Mastering the game of Go without human knowledge

October 20, 2017 by Complexity Digest   Comments (0)

A long-standing goal of artificial intelligence is an algorithm that learns, tabula rasa, superhuman proficiency in challenging domains. Recently, AlphaGo became the first program to defeat a world champion in the game of Go. The tree search in AlphaGo evaluated positions and selected moves using deep neural networks. These neural networks were trained by supervised learning from human expert moves, and by reinforcement learning from self-play. Here we introduce an algorithm based solely on...

Interview about the Conference on Complex Systems 2017

October 20, 2017 by Complexity Digest   Comments (0)

In this episode, Haley interviews Dr. Carlos Gershenson who is a research professor, Editor-in-Chief of Complexity Digest, and a Co-Chair member of the Conference on Complex Systems. Dr. Gershenson discusses this year’s conference and how it is relevant to events happening in the world today. He also shares details about next year’s Conference on Complex Systems. Source: