output
20052023
most citedThe scaling laws of human travel

2.3k citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing 2014Show all

6 papers · 1 filter

q-bio.NC2014★ 138 cited

Bits from Biology for Computational Intelligence

Michael Wibral, Joseph T. Lizier, Viola Priesemann

Computational intelligence is broadly defined as biologically-inspired computing. Usually, inspiration is drawn from neural systems. This article shows how to analyze neural system…

nlin.AO2014★ 191 cited

Revealing networks from dynamics: an introduction

Marc Timme, Jose Casadiego

What can we learn from the collective dynamics of a complex network about its interaction topology? Taking the perspective from nonlinear dynamics, we briefly review recent progres…

cs.AI2014★ 52 cited

Multiple chaotic central pattern generators with learning for legged locomotion and malfunction compensation

Guanjiao Ren, Weihai Chen, Sakyasingha Dasgupta +3

An originally chaotic system can be controlled into various periodic dynamics. When it is implemented into a legged robot's locomotion control as a central pattern generator (CPG),…

cs.CV2014★ 52 cited

The Shortlist Method for Fast Computation of the Earth Mover's Distance and Finding Optimal Solutions to Transportation Problems

Carsten Gottschlich, Dominic Schuhmacher

Finding solutions to the classical transportation problem is of great importance, since this optimization problem arises in many engineering and computer science applications. Espe…

physics.bio-ph2014★ 23 cited

Hub-activated signal transmission in complex networks

Sven Jahnke, Raoul-Martin Memmesheimer, Marc Timme

A wide range of networked systems exhibit highly connected nodes (hubs) as prominent structural elements. The functional roles of hubs in the collective nonlinear dynamics of many…

nlin.AO2014★ 5 cited

Controlling Chaos Faster

Christian Bick, Christoph Kolodziejski, Marc Timme

Predictive Feedback Control is an easy-to-implement method to stabilize unknown unstable periodic orbits in chaotic dynamical systems. Predictive Feedback Control is severely limit…