154 citations · 1.7k across the 72 of their papers we have counts for
7 papers · 1 filter
Emulating complex networks with a single delay differential equation
Florian Stelzer, Serhiy Yanchuk
A single dynamical system with time-delayed feedback can emulate networks. This property of delay systems made them extremely useful tools for Machine Learning applications. Here w…
Insight into Delay Based Reservoir Computing via Eigenvalue Analysis
Felix Köster, Serhiy Yanchuk, Kathy Lüdge
In this paper we give a profound insight into the computation capability of delay-based reservoir computing via an eigenvalue analysis. We concentrate on the task-independent memor…
Desynchronization transitions in adaptive networks
Rico Berner, Simon Vock, Eckehard Schöll +1
Adaptive networks change their connectivity with time, depending on their dynamical state. While synchronization in structurally static networks has been studied extensively, this…
What adaptive neuronal networks teach us about power grids
Rico Berner, Serhiy Yanchuk, Eckehard Schöll
Power grid networks, as well as neuronal networks with synaptic plasticity, describe real-world systems of tremendous importance for our daily life. The investigation of these seem…
Deep Time-Delay Reservoir Computing: Dynamics and Memory Capacity
Mirko Goldmann, Felix Köster, Kathy Lüdge +1
The Deep Time-Delay Reservoir Computing concept utilizes unidirectionally connected systems with time-delays for supervised learning. We present how the dynamical properties of a d…
Modeling active optical networks
Giovanni Giacomelli, Antonio Politi, Serhiy Yanchuk
The recently introduced complex active optical network (LANER) generalizes the concept of laser system to a collection of links, building a bridge with random-laser physics and qua…