30 citations · 64 across the 9 of their papers we have counts for
9 papers
Extracting continuous sleep depth from EEG data without machine learning
Claus Metzner, Achim Schilling, Maximilian Traxdorf +3
The human sleep-cycle has been divided into discrete sleep stages that can be recognized in electroencephalographic (EEG) and other bio-signals by trained specialists or machine le…
Classification at the Accuracy Limit -- Facing the Problem of Data Ambiguity
Claus Metzner, Achim Schilling, Maximilian Traxdorf +3
Data classification, the process of analyzing data and organizing it into categories, is a fundamental computing problem of natural and artificial information processing systems. I…
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…
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…
Open(G)PIAS: An open source solution for the construction of a high-precision Acoustic-Startle-Response (ASR) setup for tinnitus screening and threshold estimation in rodents
Richard Gerum, Hinrich Rahlfs, Matthias Streb +7
The acoustic startle reflex (ASR) that can be induced by a loud sound stimulus can be used as a versatile tool to, e.g., estimate hearing thresholds or identify subjective tinnitus…
A statistical method for analyzing and comparing spatiotemporal cortical activation patterns
Patrick Krauss, Claus Metzner, Achim Schilling +3
We present a new statistical method to analyze multichannel steady-state local field potentials (LFP) recorded within different sensory cortices of different rodent species. Our sp…
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…
Adaptive stochastic resonance based on output autocorrelations
Patrick Krauss, Claus Metzner, Konstantin Tziridis +1
Successful detection of weak signals is a universal challenge for numerous technical and biological systems and crucially limits signal transduction and transmission. Stochastic re…