Stochastic resonance (SR) has been proposed to play a major role in auditory perception,
and to maintain optimal information transmission from the cochlea to the auditory system. By …

Automatic sleep stage scoring based on deep neural networks has come into focus of sleep
researchers and physicians, as a reliable method able to objectively classify sleep stages …

Recently, it was proposed that a processing principle called adaptive stochastic resonance
plays a major role in the auditory system, and serves to maintain optimal sensitivity even to …

Chaos and Noise are ubiquitous in the Brain. Inspired by the chaotic firing of neurons and
the constructive role of noise in neuronal models, we for the first time connect chaos, noise …

In the field of neurobiology of language, neuroimaging studies are generally based on
stimulation paradigms consisting of at least two different conditions. Designing those …

Up to now, modern machine learning (ML) has been based on approximating big data sets
with high-dimensional functions, taking advantage of huge computational resources. We …

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 …

The phenomenon of self-induced stochastic resonance (SISR) requires a nontrivial scaling
limit between the deterministic and the stochastic timescales of an excitable system, leading …