Signal propagation in complex networks
Signal propagation in complex networks drives epidemics, is responsible for information
going viral, promotes trust and facilitates moral behavior in social groups, enables the …
going viral, promotes trust and facilitates moral behavior in social groups, enables the …
Insect-inspired robots: bridging biological and artificial systems
This review article aims to address common research questions in hexapod robotics. How
can we build intelligent autonomous hexapod robots that can exploit their biomechanics …
can we build intelligent autonomous hexapod robots that can exploit their biomechanics …
Advancing neuromorphic computing with loihi: A survey of results and outlook
Deep artificial neural networks apply principles of the brain's information processing that led
to breakthroughs in machine learning spanning many problem domains. Neuromorphic …
to breakthroughs in machine learning spanning many problem domains. Neuromorphic …
Robots that can adapt like animals
Robots have transformed many industries, most notably manufacturing, and have the power
to deliver tremendous benefits to society, such as in search and rescue, disaster response …
to deliver tremendous benefits to society, such as in search and rescue, disaster response …
AI Pontryagin or how artificial neural networks learn to control dynamical systems
The efficient control of complex dynamical systems has many applications in the natural and
applied sciences. In most real-world control problems, both control energy and cost …
applied sciences. In most real-world control problems, both control energy and cost …
Deterministic polarization chaos from a laser diode
Fifty years after the invention of the laser diode, and forty years after the butterfly effect
signified the unpredictability of deterministic chaos, it is commonly believed that a laser …
signified the unpredictability of deterministic chaos, it is commonly believed that a laser …
Walknet, a bio-inspired controller for hexapod walking
Walknet comprises an artificial neural network that allows for the simulation of a
considerable amount of behavioral data obtained from walking and standing stick insects. It …
considerable amount of behavioral data obtained from walking and standing stick insects. It …
Correlation of positive and negative reciprocity fails to confer an evolutionary advantage: Phase transitions to elementary strategies
Economic experiments reveal that humans value cooperation and fairness. Punishing unfair
behavior is therefore common, and according to the theory of strong reciprocity, it is also …
behavior is therefore common, and according to the theory of strong reciprocity, it is also …
Adaptive control strategies for interlimb coordination in legged robots: a review
Walking animals produce adaptive interlimb coordination during locomotion in accordance
with their situation. Interlimb coordination is generated through the dynamic interactions of …
with their situation. Interlimb coordination is generated through the dynamic interactions of …
Generic neural locomotion control framework for legged robots
In this article, we present a generic locomotion control framework for legged robots and a
strategy for control policy optimization. The framework is based on neural control and black …
strategy for control policy optimization. The framework is based on neural control and black …