When modeling auditory responses to environmental sounds, results are satisfactory if both
training and testing are restricted to datasets of one type of sound. To predict'cross …

Modeling central auditory neurons in response to complex sounds not only helps
understanding neural processing of speech signals but can also provide insights for …

The inferior colliculus (IC) is the main converging station in the auditory midbrain and
important for processing of complex sounds. However, the functional mapping of natural …

The auditory midbrain (inferior colliculus, IC) plays an important role in sound processing,
acting as hub for acoustic information extraction and for the implementation of fast audio …

Abstract Models are valuable tools to assess how deeply we understand complex systems:
only if we are able to replicate the output of a system based on the function of its …

Animal vocalizations in natural settings are invariably accompanied by an acoustic
background with a complex statistical structure. We have previously demonstrated that …

To simulate central auditory responses to complex sounds, a computational model was
implemented. It consists of a multi-scale classification process, and an artificial neural …

Understanding neural responses to natural stimuli has become an essential part of
characterizing neural coding. For this reason, it is becoming increasingly important to …

Animals can quickly process and understand behaviorally significant complex sounds from
noisy environments. If the neural mechanisms behind this behavior are found, we will gain a …

The representation of sound information in the central nervous system relies on the analysis
of time-varying features in communication and other environmental sounds. How are …