Predictive coding and stochastic resonance as fundamental principles of auditory phantom perception
Mechanistic insight is achieved only when experiments are employed to test formal or
computational models. Furthermore, in analogy to lesion studies, phantom perception may …
computational models. Furthermore, in analogy to lesion studies, phantom perception may …
Known operator learning and hybrid machine learning in medical imaging—a review of the past, the present, and the future
In this article, we perform a review of the state-of-the-art of hybrid machine learning in
medical imaging. We start with a short summary of the general developments of the past in …
medical imaging. We start with a short summary of the general developments of the past in …
Intrinsic noise improves speech recognition in a computational model of the auditory pathway
Noise is generally considered to harm information processing performance. However, in the
context of stochastic resonance, noise has been shown to improve signal detection of weak …
context of stochastic resonance, noise has been shown to improve signal detection of weak …
Tinnitus is associated with improved cognitive performance and speech perception–can stochastic resonance explain?
A Schilling, P Krauss - Frontiers in Aging Neuroscience, 2022 - frontiersin.org
We hypothesize that the decreased cognitive decline is a direct consequence of an
improved speech perception and less cognitive deprivation due to the stochastic resonance …
improved speech perception and less cognitive deprivation due to the stochastic resonance …
Spectrally matched near-threshold noise for subjective tinnitus loudness attenuation based on stochastic resonance
Recently, we proposed a model of tinnitus development based on a physiological
mechanism of permanent optimization of information transfer from the auditory periphery to …
mechanism of permanent optimization of information transfer from the auditory periphery to …
Auditory perception and phantom perception in brains, minds and machines
A Schilling, R Schaette, W Sedley, RC Gerum… - Frontiers in …, 2023 - frontiersin.org
The idea of combining artificial intelligence, in particular deep neural networks, and
computational modeling with neuroscience and cognitive sciences has recently gained …
computational modeling with neuroscience and cognitive sciences has recently gained …
[HTML][HTML] Pharmacologic treatments in preclinical tinnitus models with special focus on Ginkgo biloba leaf extract EGb 761®
SW Barth, MD Lehner, GPH Dietz, H Schulze - Molecular and Cellular …, 2021 - Elsevier
Tinnitus is defined as the perception of sound in the absence of external acoustic stimuli.
Frequent comorbidities or associated factors are depression, anxiety, concentration …
Frequent comorbidities or associated factors are depression, anxiety, concentration …
Preventive Effects of Ginkgo-Extract EGb 761® on Noise Trauma-Induced Cochlear Synaptopathy
K Tziridis, H Schulze - Nutrients, 2022 - mdpi.com
Noise trauma-induced loss of ribbon synapses at the inner hair cells (IHC) of the cochlea
may lead to hearing loss (HL), resulting in tinnitus. We are convinced that a successful and …
may lead to hearing loss (HL), resulting in tinnitus. We are convinced that a successful and …
[HTML][HTML] Behavioral assessment of Zwicker tone percepts in gerbils
The Zwicker tone illusion–an auditory phantom percept after hearing a notched noise
stimulus–can serve as an interesting model for acute tinnitus. Recent mechanistic models …
stimulus–can serve as an interesting model for acute tinnitus. Recent mechanistic models …
Dynamics and information import in recurrent neural networks
Recurrent neural networks (RNNs) are complex dynamical systems, capable of ongoing
activity without any driving input. The long-term behavior of free-running RNNs, described by …
activity without any driving input. The long-term behavior of free-running RNNs, described by …