Mechanistic insight is achieved only when experiments are employed to test formal or
computational models. Furthermore, in analogy to lesion studies, phantom perception may …

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 …

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 …

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 …

Recently, we proposed a model of tinnitus development based on a physiological
mechanism of permanent optimization of information transfer from the auditory periphery to …

The idea of combining artificial intelligence, in particular deep neural networks, and
computational modeling with neuroscience and cognitive sciences has recently gained …

Tinnitus is defined as the perception of sound in the absence of external acoustic stimuli.
Frequent comorbidities or associated factors are depression, anxiety, concentration …

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 …

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 …

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 …