651 citations · 2.5k across the 55 of their papers we have counts for
7 papers · 1 filter
Tackling the subsampling problem to infer collective properties from limited data
Anna Levina, Viola Priesemann, Johannes Zierenberg
Complex systems are fascinating because their rich macroscopic properties emerge from the interaction of many simple parts. Understanding the building principles of these emergent…
A Measure of the Complexity of Neural Representations based on Partial Information Decomposition
David A. Ehrlich, Andreas C. Schneider, Viola Priesemann +2
In neural networks, task-relevant information is represented jointly by groups of neurons. However, the specific way in which this mutual information about the classification label…
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…
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…