943 citations · 1.8k across the 38 of their papers we have counts for
39 papers
Moving against the odds with a cyclic active Brownian ratchet: current enhancement and reversal
Theo Spornhauer, Benoît Mahault, Johannes Zierenberg
We show that periodically modulating the self-propulsion of active particles in an asymmetric potential can both enhance rectified transport and reverse its direction, even when th…
Finite integration time can shift optimal sensitivity away from criticality
Sahel Azizpour, Viola Priesemann, Johannes Zierenberg +1
Sensitivity to small changes in the environment is crucial for many real-world tasks, enabling living and artificial systems to make correct behavioral decisions. It has been shown…
Effects of correlated collisions and intermittency on the growth of lucky droplets
Tobias Bätge, Johannes Zierenberg, Michael Wilczek
To trigger precipitation, water droplets in warm clouds need to attain a sufficient size. Theoretical estimates based on condensation and gravitational collisions alone fail to exp…
Available observation time regulates optimal balance between sensitivity and confidence
Sahel Azizpour, Viola Priesemann, Johannes Zierenberg +1
Tasks that require information about the world imply a trade-off between the time spent on observation and the variance of the response. In particular, fast decisions need to rely…
Signatures of hierarchical temporal processing in the mouse visual system
Lucas Rudelt, Daniel González Marx, F. Paul Spitzner +3
A core challenge for the brain is to process information across various timescales. This could be achieved by a hierarchical organization of temporal processing through intrinsic m…
Autocorrelations from emergent bistability in homeostatic spiking neural networks on neuromorphic hardware
Benjamin Cramer, Markus Kreft, Sebastian Billaudelle +9
A unique feature of neuromorphic computing is that memory is an implicit part of processing through traces of past information in the system's collective dynamics. The extent of me…
Modular architecture facilitates noise-driven control of synchrony in neuronal networks
Hideaki Yamamoto, F. Paul Spitzner, Taiki Takemuro +9
Brain functions require both segregated processing of information in specialized circuits, as well as integration across circuits to perform high-level information processing. One…
How contact patterns destabilize and modulate epidemic outbreaks
Johannes Zierenberg, F. Paul Spitzner, Jonas Dehning +3
The spread of a contagious disease clearly depends on when infected individuals come into contact with susceptible ones. Such effects, however, have remained largely unexplored in…
The challenges of containing SARS-CoV-2 via test-trace-and-isolate
Sebastian Contreras, Jonas Dehning, Matthias Loidolt +7
Without a cure, vaccine, or proven long-term immunity against SARS-CoV-2, test-trace-and-isolate (TTI) strategies present a promising tool to contain its spread. For any TTI strate…
MR. Estimator, a toolbox to determine intrinsic timescales from subsampled spiking activity
F. P. Spitzner, J. Dehning, J. Wilting +4
Here we present our Python toolbox "MR. Estimator" to reliably estimate the intrinsic timescale from electrophysiologal recordings of heavily subsampled systems. Originally intende…
Inferring change points in the COVID-19 spreading reveals the effectiveness of interventions
Jonas Dehning, Johannes Zierenberg, F. Paul Spitzner +4
As COVID-19 is rapidly spreading across the globe, short-term modeling forecasts provide time-critical information for decisions on containment and mitigation strategies. A main ch…
Characterizing spreading dynamics of subsampled systems with non-stationary external input
Jorge de Heuvel, Jens Wilting, Moritz Becker +2
Many systems with propagation dynamics, such as spike propagation in neural networks and spreading of infectious diseases, can be approximated by autoregressive models. The estimat…
Description of spreading dynamics by microscopic network models and macroscopic branching processes can differ due to coalescence
Johannes Zierenberg, Jens Wilting, Viola Priesemann +1
Spreading processes are conventionally monitored on a macroscopic level by counting the number of incidences over time. The spreading process can then be modeled either on the micr…
Tailored ensembles of neural networks optimize sensitivity to stimulus statistics
Johannes Zierenberg, Jens Wilting, Viola Priesemann +1
The dynamic range of stimulus processing in living organisms is much larger than a single neural network can explain. For a generic, tunable spiking network we derive that while th…
Stabilization and Destabilization of Semiflexible Polymers Induced by Spherical Confinement
Martin Marenz, Johannes Zierenberg, Wolfhard Janke
Spherical confinement can act either stabilizing or destabilizing on the collapsed state of a semi-flexible polymer. General free-energy arguments suggest that the order of the unc…
Dynamic Adaptive Computation: Tuning network states to task requirements
Jens Wilting, Jonas Dehning, Joao Pinheiro Neto +4
Neural circuits are able to perform computations under very diverse conditions and requirements. The required computations impose clear constraints on their fine-tuning: a rapid an…
Homeostatic plasticity and external input shape neural network dynamics
Johannes Zierenberg, Jens Wilting, Viola Priesemann
In vitro and in vivo spiking activity clearly differ. Whereas networks in vitro develop strong bursts separated by periods of very little spiking activity, in vivo cortical network…
The Droplet Formation-Dissolution Transition in Different Ensembles: Finite-Size Scaling from Two Perspectives
Franz Paul Spitzner, Johannes Zierenberg, Wolfhard Janke
The formation and dissolution of a droplet is an important mechanism related to various nucleation phenomena. Here, we address the droplet formation-dissolution transition in a two…
From particle condensation to polymer aggregation
Wolfhard Janke, Johannes Zierenberg
We draw an analogy between droplet formation in dilute particle and polymer systems. Our arguments are based on finite-size scaling results from studies of a two-dimensional lattic…
Universality from disorder in the random-bond Blume-Capel model
N. G. Fytas, J. Zierenberg, P. E. Theodorakis +3
Using high-precision Monte Carlo simulations and finite-size scaling we study the effect of quenched disorder in the exchange couplings on the Blume-Capel model on the square latti…
Percolation thresholds and fractal dimensions for square and cubic lattices with long-range correlated defects
Johannes Zierenberg, Niklas Fricke, Martin Marenz +3
We study long-range power-law correlated disorder on square and cubic lattices. In particular, we present high-precision results for the percolation thresholds and the fractal dime…
Transition barrier at a first-order phase transition in the canonical and microcanonical ensemble
Wolfhard Janke, Philipp Schierz, Johannes Zierenberg
We compare the transition barrier that accompanies a first-order phase transition in the canonical and microcanonical ensemble. This is directly encoded in the probability distribu…
Massively parallel multicanonical simulations
Jonathan Gross, Johannes Zierenberg, Martin Weigel +1
Generalized-ensemble Monte Carlo simulations such as the multicanonical method and similar techniques are among the most efficient approaches for simulations of systems undergoing…
Scaling laws for random walks in long-range correlated disordered media
N. Fricke, J. Zierenberg, M. Marenz +3
We study the scaling laws of diffusion in two-dimensional media with long-range correlated disorder through exact enumeration of random walks. The disordered medium is modelled by…