5 citations · 5 across the 1 of their papers we have counts for
6 papers
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…
Sparsity through evolutionary pruning prevents neuronal networks from overfitting
Richard C. Gerum, André Erpenbeck, Patrick Krauss +1
Modern Machine learning techniques take advantage of the exponentially rising calculation power in new generation processor units. Thus, the number of parameters which are trained…
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…
Objective estimation of sensory thresholds based on neurophysiological parameters
Achim Schilling, Richard Gerum, Patrick Krauss +3
Reliable determination of sensory thresholds is the holy grail of signal detection theory. However, there exists no gold standard for the estimation of thresholds based on neurophy…
Stochastic resonance controlled upregulation of internal noise after hearing loss as a putative correlate of tinnitus-related neuronal hyperactivity
Patrick Krauss, Konstantin Tziridis, Achim Schilling +2
Subjective tinnitus (ST) is generally assumed to be a consequence of hearing loss (HL). In animal studies acoustic trauma can lead to behavioral signs of ST, in human studies ST pa…