126 citations · 420 across the 10 of their papers we have counts for
10 papers
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…
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…
Assessing criticality in pre-seizure single-neuron activity of human epileptic cortex
Annika Hagemann, Jens Wilting, Bita Samimizad +2
Epileptic seizures are characterized by abnormal and excessive neural activity, where cortical network dynamics seem to become unstable. However, most of the time, during seizure-f…
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…
25 years of criticality in neuroscience -- established results, open controversies, novel concepts
J. Wilting, V. Priesemann
Twenty-five years ago, Dunkelmann and Radons (1994) proposed that neural networks should self-organize to a critical state. In models, criticality offers a number of computational…
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…
Between perfectly critical and fully irregular: a reverberating model captures and predicts cortical spike propagation
Jens Wilting, Viola Priesemann
Knowledge about the collective dynamics of cortical spiking is very informative about the underlying coding principles. However, even most basic properties are not known with certa…
Inferring collective dynamical states from widely unobserved systems
Jens Wilting, Viola Priesemann
When assessing spatially-extended complex systems, one can rarely sample the states of all components. We show that this spatial subsampling typically leads to severe underestimati…