activity
19952010
most citedPinning Control of Spatiotemporal Chaos

288 citations · 612 across the 14 of their papers we have counts for

collaborators

14 papers

q-bio.NC2010★ 5 cited

Triggering up states in all-to-all coupled neurons

Hong-Viet V. Ngo, Jan Köhler, Jörg Mayer +2

Slow-wave sleep in mammalians is characterized by a change of large-scale cortical activity currently paraphrased as cortical Up/Down states. A recent experiment demonstrated a bis…

q-bio.NC2007★ 18 cited

Corticothalamic projections control synchronization in locally coupled bistable thalamic oscillators

Jörg Mayer, Heinz Georg Schuster, Jens Christian Claussen +1

Thalamic circuits are able to generate state-dependent oscillations of different frequencies and degrees of synchronization. However, only little is known how synchronous oscillati…

nlin.CD2006★ 10 cited

Memory difference control of unknown unstable fixed points: Drifting parameter conditions and delayed measurement

Jens Christian Claussen, Thorsten Mausbach, Alexander Piel +1

Difference control schemes for controlling unstable fixed points become important if the exact position of the fixed point is unavailable or moving due to drifting parameters. We p…

cond-mat.dis-nn2006★ 2 cited

Asymptotic Level Density of the Elastic Net Self-Organizing Feature Map

Jens Christian Claussen, Heinz Georg Schuster

Whileas the Kohonen Self Organizing Map shows an asymptotic level density following a power law with a magnification exponent 2/3, it would be desired to have an exponent 1 in orde…

q-bio.NC2005★ 19 cited

The role of inhibitory feedback for information processing in thalamocortical circuits

Joerg Mayer, Heinz Georg Schuster, Jens Christian Claussen

The information transfer in the thalamus is blocked dynamically during sleep, in conjunction with the occurence of spindle waves. As the theoretical understanding of the mechanism…

cond-mat.stat-mech2004★ 64 cited

Stochastic gain in population dynamics

Arne Traulsen, Torsten Roehl, Heinz Georg Schuster

We introduce an extension of the usual replicator dynamics to adaptive learning rates. We show that a population with a dynamic learning rate can gain an increased average payoff i…