132 citations · 169 across the 8 of their papers we have counts for
6 papers · 1 filter
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…
Dendritic predictive coding: A theory of cortical computation with spiking neurons
Fabian A. Mikulasch, Lucas Rudelt, Michael Wibral +1
Top-down feedback in cortex is critical for guiding sensory processing, which has prominently been formalized in the theory of hierarchical predictive coding (hPC). However, experi…
Information-theoretic analyses of neural data to minimize the effect of researchers' assumptions in predictive coding studies
Patricia Wollstadt, Daniel L. Rathbun, W. Martin Usrey and +4
Studies investigating neural information processing often implicitly ask both, which processing strategy out of several alternatives is used and how this strategy is implemented in…
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…
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…
Breakdown of local information processing may underlie isoflurane anesthesia effects
Patricia Wollstadt, Kristin K. Sellers, Lucas Rudelt +4
The disruption of coupling between brain areas has been suggested as the mechanism underlying loss of consciousness in anesthesia. This hypothesis has been tested previously by mea…