9 citations · 13 across the 2 of their papers we have counts for
8 papers
Intrinsic timescales of spiking activity in humans during wakefulness and sleep
Annika Hagemann, Marcel Stephan Kehl, Jonas Dehning +5
Information processing in the brain requires integration of information over time. Such an integration can be achieved if signals are maintained in the network activity for the req…
A partial information decomposition for discrete and continuous variables
Kyle Schick-Poland, Abdullah Makkeh, Aaron J. Gutknecht +3
Conceptually, partial information decomposition (PID) is concerned with separating the information contributions several sources hold about a certain target by decomposing the corr…
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…
Introducing a differentiable measure of pointwise shared information
Abdullah Makkeh, Aaron J. Gutknecht, Michael Wibral
Partial information decomposition (PID) of the multivariate mutual information describes the distinct ways in which a set of source variables contains information about a target va…
Control of criticality and computation in spiking neuromorphic networks with plasticity
Benjamin Cramer, David Stöckel, Markus Kreft +4
The critical state is assumed to be optimal for any computation in recurrent neural networks, because criticality maximizes a number of abstract computational properties. We challe…
Large-scale directed network inference with multivariate transfer entropy and hierarchical statistical testing
Leonardo Novelli, Patricia Wollstadt, Pedro Mediano +2
Network inference algorithms are valuable tools for the study of large-scale neuroimaging datasets. Multivariate transfer entropy is well suited for this task, being a model-free m…