61 citations · 213 across the 18 of their papers we have counts for
7 papers · 1 filter
Quantifying and maximizing the information flux in recurrent neural networks
Claus Metzner, Marius E. Yamakou, Dennis Voelkl +2
Free-running Recurrent Neural Networks (RNNs), especially probabilistic models, generate an ongoing information flux that can be quantified with the mutual information $I\left[\vec…
Neural Network based Formation of Cognitive Maps of Semantic Spaces and the Emergence of Abstract Concepts
Paul Stoewer, Achim Schilling, Andreas Maier +1
The hippocampal-entorhinal complex plays a major role in the organization of memory and thought. The formation of and navigation in cognitive maps of arbitrary mental spaces via pl…
Predictive coding and stochastic resonance as fundamental principles of auditory perception
Achim Schilling, William Sedley, Richard Gerum +7
How is information processed in the brain during perception? Mechanistic insight is achieved only when experiments are employed to test formal or computational models. In analogy t…
Towards a Cognitive Computational Neuroscience of Auditory Phantom Perceptions
Patrick Krauss, Achim Schilling
In order to gain a mechanistic understanding of how tinnitus emerges in the brain, we must build biologically plausible computational models that mimic both tinnitus development an…
Stochastic resonance in three-neuron motifs
Patrick Krauss, Karin Prebeck, Achim Schilling +1
Stochastic resonance is a non-linear phenomenon, in which the sensitivity of signal detectors can be enhanced by adding random noise to the detector input. Here, we demonstrate tha…
Analysis of structure and dynamics in three-neuron motifs
Patrick Krauss, Alexandra Zankl, Achim Schilling +2
In neural networks with identical neurons, the matrix of connection weights completely describes the network structure and thereby determines how it is processing information. Howe…