activity
20152022
most citedPredictive coding and stochastic resonance as fundamental principles of auditory perception

2 citations · 3 across the 2 of their papers we have counts for

collaborators

6 papers

q-bio.NC20222 cited

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…

q-bio.NC2018

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…

q-bio.QM2018

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…

q-bio.NC2018

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…

q-bio.QM2016

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…

cs.IT20151 cited

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…